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Neural networks (Computer science)
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The concept ** Neural networks (Computer science)** represents the subject, aboutness, idea or notion of resources found in **University of Liverpool**.

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Neural networks (Computer science)
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**Neural networks (Computer science)**represents the subject, aboutness, idea or notion of resources found in**University of Liverpool**.- Label
- Neural networks (Computer science)

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- A field guide to dynamical recurrent networks
- A guide to convolutional neural networks for computer vision
- A neural network approach to fluid quantity measurement in dynamic environments
- Adaptive cooperative systems
- Adaptive pattern recognition and neural networks
- Adaptive representations for reinforcement learning
- Advanced deep learning with Keras : apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
- Advanced deep learning with Python : design and implement advanced next-generation AI solutions using TensorFlow and PyTorch
- Advanced methods in neural computing
- Advanced neural network-based computational schemes for robust fault diagnosis
- Advances in Neural Networks - ISNN 2015 : 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15-18, 2015, Proceedings
- Advances in Neural Networks - ISNN 2017 : 14th International Symposium, ISNN 2017, Sapporo, Hakodate, and Muroran, Hokkaido, Japan, June 21–26, 2017, Proceedings, Part II
- Advances in independent component analysis and learning machines
- Advances in neural networks : computational intelligence for ICT
- Advances in neuromorphic hardware exploiting emerging nanoscale devices
- Allgemeine Psychologie
- An introduction to computational learning theory
- An introduction to neural computing
- An introduction to neural network methods for differential equations
- An introduction to the modeling of neural networks
- An introduction to the modeling of neural networks
- Analogue neural VLSI : a pulse stream approach
- Analysis and control of coupled neural networks with reaction-diffusion terms
- Analyzing neural time series data : theory and practice
- Application of neural networks and other learning technologies in process engineering
- Applications of mathematics in models, artificial neural networks and arts : mathematics and society
- Applications of neural networks in electromagnetics
- Applications of neural networks in high assurance systems
- Applications of pulse-coupled neural networks
- Applied deep learning : a case-based approach to understanding deep neural networks
- Approximation methods for efficient learning of Bayesian networks
- Artificial higher order neural networks for computer science and engineering : trends for emerging applications
- Artificial higher order neural networks for computer science and engineering : trends for emerging applications
- Artificial intelligence & data mining applications in the E&P industry
- Artificial intelligence and molecular biology
- Artificial intelligence for humans, Volume 3, Deep learning and neural networks
- Artificial intelligence in the age of neural networks and brain computing
- Artificial neural network for drug design, delivery and disposition
- Artificial neural network for software reliability prediction
- Artificial neural network modeling of water and wastewater treatment processes
- Artificial neural network modelling
- Artificial neural network training and software implementation techniques
- Artificial neural networks : a practical course
- Artificial neural networks : an introduction
- Artificial neural networks : methods and applications
- Artificial neural networks for computer vision
- Artificial neural networks for engineering applications
- Artificial neural networks for speech analysis/synthesis
- Artificial neural networks for the modelling and fault diagnosis of technical processes
- Artificial neural networks in vehicular pollution modelling
- Artificial neural networks with Java : tools for building neural network applications
- Artificial neural networks: paradigms, applications and hardware implementations
- Artificial neural networks: theory and applications
- Artificial neural systems : principle and practice
- Automatic modulation recognition of communication signals
- Bayesian artificial intelligence
- Bayesian learning for neural networks
- Bayesian networks and decision graphs
- Bayesian networks and decision graphs
- Bio-inspired emergent control of locomotion systems.
- Bioinformatics : the machine learning approach
- Bioinformatics : the machine learning approach
- Bioinformatics : the machine learning approach
- Blind equalization in neural networks : theory, algorithms and applications
- Brain-inspired information technology
- Brain-machine interface engineering
- Brain-mind machinery : brain-inspired computing and mind opening
- Business @ the speed of thought : using a digital nervous system
- C# machine learning projects : nine real-world projects to build robust and high-performing machine learning models with C#
- Cellular nanoscale sensory wave computing
- Cellular neural networks and visual computing : foundation and applications
- Cellular neural networks and visual computing : foundation and applications
- Cellular neural networks and visual computing : foundations and applications
- Cellular neural networks, multi-scroll chaos and synchronization
- Chaos, CNN, memristors and beyond : a festschrift for Leon Chua
- Circuit complexity and neural networks
- Classic works of the Dempster-Shafer theory of belief functions
- Clinical applications of artificial neural networks
- Cognitive systems : information processing meets brain science
- Common LISP modules : artificial intelligence in the era of neural networks and chaos theory
- Competition-based neural networks with robotic applications
- Complex valued nonlinear adaptive filters : noncircularity, widely linear, and neural models
- Complex-valued neural networks : advances and applications
- Complex-valued neural networks with multi-valued neurons
- Complex-valued neural networksh[electronic book]
- Computation in cells and tissues : perspectives and tools of thought
- Computational ecology : artificial neural networks and their applications
- Computational neural networks for geophysical data processing
- Computational neurogenetic modeling
- Computational neuroscience : a comprehensive approach
- Connectionist symbol processing
- Connectionist symbol processing
- Constructive neural networks
- Data orchestration in deep learning accelerators
- Decentralized neural control : application to robotics
- Deep Belief Nets in C++ and CUDA C, Volume 1, Restricted Boltzmann machines and supervised feedforward networks
- Deep belief nets in C++ and CUDA C :, Volume 2, Autoencoding in the complex domain
- Deep belief nets in C++ and CUDA C, Volume 3, Convolutional neets
- Deep learning and convolutional neural networks for medical image computing : precision medicine, high performance and large-scale datasets
- Deep learning approaches to text production
- Deep learning essentials : your hands-on guide to the fundamentals of deep learning and neural network modeling
- Deep learning for coders with fastai and PyTorch : AI applications without a PhD
- Deep learning for computer architects
- Deep learning for computer vision : expert techniques to train advanced neural networks using TensorFlow and Keras
- Deep learning for natural language processing : creating neural networks with Python
- Deep learning quick reference : useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
- Deep learning with Keras : implementing deep learning models and neural networks with the power of Python
- Deep learning with Microsoft Cognitive Toolkit quick start guide : a practical guide to building neural networks using Microsoft's open source deep learning framework
- Deep learning with PyTorch : a practical approach to building neural network models using PyTorch
- Deep learning with R
- Deep learning with TensorFlow 2 and keras : regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API
- Deep learning with Theano : perform large-scale numerical and scientific computations efficiently
- Deep neural networks in a mathematical framework
- Differential neural networks for robust nonlinear control : identification, state estimation and trajectory tracking
- Directed information measures in neuroscience
- Discrete-time inverse optimal control for nonlinear systems
- Discrete-time neural observers : analysis and applications
- Dynamic interactions in neural networks: models and data
- Dynamic, genetic, and chaotic programming: the sixth-generation
- Dynamics on and of complex networks : applications to biology, computer science, and the social sciences
- EEG Signal Processing : Feature extraction, selection and classification methods
- Efficient processing of deep neural networks
- Elements of artificial neural networks
- Emergent neural computational architectures based on neuroscience : towards neuroscience-inspired computing
- Emergent neural computational architectures based on neuroscience : towards neuroscience-inspired computing
- Emotional cognitive neural algorithms with engineering applications : dynamic logic: from vague to crisp
- Event-based neuromorphic systems
- Evolutionary algorithms and neural networks : theory and applications
- Evolutionary approach to machine learning and deep neural networks : neuro-evolution and gene regulatory networks
- Evolving intelligent systems : methodology and applications
- FPGA implementations of neural networks
- Faithful representations and topographic maps : from distortion-to informationa-based self-organization
- Fault detection and flight data measurement : demonstrated on unmanned air vehicles using neural networks
- Flexible Robot Manipulators : Modelling, Simulation and Control
- Flexible and Cognitive Radio Access Technologies for 5G and Beyond
- Flexible neuro-fuzzy systems : structures, learning, and performance evaluation
- Focus on artificial neural networks
- Foreign-exchange-rate forecasting with artificial neural networks
- Foundations of neural networks, fuzzy systems, and knowledge engineering
- Foundations of neuro-fuzzy systems
- Frontiers in Hardware Security and Trust; Theory, design and practice
- Fundamentals of artificial neural networks
- Fundamentals of neural network modeling : neuropsychology and cognitive neuroscience
- Fusion methods for unsupervised learning ensembles
- Fusions- und Ãœbernahmekandidaten in der deutschen Stahlindustrie : Ein Vergleich zwischen binÃ¤r logistischen Regressionen und kÃ¼nstlichen neuronalen Netzen
- Fuzzy control in environmental engineering
- Fuzzy logic and neural networks : basic concepts and application
- Fuzzy neural network theory and application
- Fuzzy neural networks for real time control applications : concepts, modeling and algorithms for fast learning
- Fuzzy sets, neural networks and soft computing
- Fuzzy-neuro approach to agent applications : from the AI perspective to modern ontology
- Generative adversarial networks cookbook : over 100 recipes to build generative models using Python, TensorFlow, and Keras
- Generative adversarial networks projects : build next-generation generative models using TensorFlow and Keras
- Geophysical applications of artificial neural networks and fuzzy logic
- Granular neural networks, pattern recognition and bioinformatics
- Graph representation learning
- Graphical models : foundations of neural computation
- Green Communications for Energy-Efficient Wireless Systems and Networks
- Growing adaptive machines : combining development and learning in artificial neural networks
- Guide to convolutional neural networks : a practical application to traffic-sign detection and classification
- Handbook of neural computation
- Handbook of neural engineering
- Hands-on deep learning architectures with python : create deep neural networks to solve computational problems using TensorFlow and Keras
- Hands-on neural networks : learn how to build and train your first neural network model using Python
- Hands-on neural networks with Keras : design and create neural networks using deep learning and artificial intelligence principles
- Hebbian learning and negative feedback networks
- Hierarchical modular granular neural networks with fuzzy aggregation
- Hybrid intelligent systems for pattern recognition using soft computing : an evolutionary approach for neural networks and fuzzy systems
- Hybrid methods in pattern recognition
- Identification of nonlinear systems using neural networks and polynomial models : a block-oriented approach
- Image processing using pulse-coupled neural networks
- Image processing using pulse-coupled neural networks
- Image processing using pulse-coupled neural networks : applications in Python
- Immunological bioinformatics
- Independent component analysis : a tutorial introduction
- Independent component analysis : principles and practice
- Independent component analysis : principles and practice
- Independent component analysis : theory and applications
- Industrial applications of neural networks
- Information processing by biochemical systems : neural network-type configurations
- Information theory and the brain
- Information-theoretic aspects of neural networks
- Innovations in Bayesian networks : theory and applications
- Innovations in neural information paradigms and applications
- Integration of swarm intelligence and artificial neutral network
- Intelligence emerging : adaptivity and search in evolving neural systems
- Intelligence emerging : adaptivity and search in evolving neural systems
- Intelligent data mining in law enforcement analytics : new neural networks applied to real problems
- Intelligent hybrid systems : fuzzy logic, neural networks, and genetic algorithms
- Intelligent optimal adaptive control for mechatronic systems
- Intelligent systems : approximation by artificial neural networks
- Intelligent systems II : complete approximation by neural network operators
- Intelligent systems and signal processing in power engineering
- Intelligent visual inspection : using artificial neural networks
- Internet-based intelligent information processing systems
- Introducing neural networks
- Introduction to Deep Learning : From Logical Calculus to Artificial Intelligence
- Introduction to artificial life
- Introduction to artificial neural systems
- Introduction to graph neural networks
- Introduction to machine learning with R : rigorous mathematical analysis
- Introduction to neural networks for C#
- Isospectral transformations : a new approach to analyzing multidimensional systems and networks
- Issues in the use of neural networks in information retrieval
- Kalman filtering and neural networks
- Knowledge-based neurocomputing : a fuzzy logic approach
- Learn Keras for Deep Neural Networks : A Fast-Track Approach to Modern Deep Learning with Python
- Learning from data : concepts, theory, and methods
- MATLAB deep learning : with machine learning, neural networks and artificial intelligence
- MATLAB supplement to Fuzzy and neural approaches in engineering
- Make your own neural network : a gentle journey through the mathematics of neural networks, and making your own using the Python computer language
- Mastering PyTorch : build powerful neural network architectures using advanced PyTorch 1.x features
- Mathematical Immunology of Virus Infections
- Mechanisms of implicit learning : connectionist models of sequence processing
- Mechanisms of implicit learning: connectionist models of sequence processing
- Methodologies of using neural network and fuzzy logic technologies for motor incipient fault detection
- Methods and procedures for the verification and validation of artificial neural networks
- Micro-Doppler Radar and Its Applications
- Mobile deep learning with TensorFlow lite, ml kit and flutter : build scalable real-world projects to implement end-to-end neural networks on Android and iOS
- Modular neural networks and type-2 fuzzy systems for pattern recognition
- Multidisciplinary approaches to neural computing
- Multilayer neural networks : a generalized net perspective
- Neural Nets WIRN09 : proceedings of the 19th Italian workshop on neural nets, Vetri Sul Mare, Salerno, Italy May 28-30 2009
- Neural Networks and Qualitative Physics : A Viability Approach
- Neural Networks for Cooperative Control of Multiple Robot Arms
- Neural advances in processing nonlinear dynamic signals
- Neural and adaptive systems : fundamentals through simulations
- Neural and fuzzy logic control of drives and power systems
- Neural computation and self-organizing maps: an introduction
- Neural information processing : research and development
- Neural machine translation
- Neural nets and chaotic carriers
- Neural nets and chaotic carriers
- Neural nets and surroundings : 22nd Italian Workshop on Neural Nets, WIRN 2012, May 17-19, Vietri sul Mare, Salerno, Italy
- Neural network design
- Neural network fundamentals with graphs, algorithms, and applications
- Neural network learning : theoretical foundations
- Neural network learning and expert systems
- Neural network methods for natural language processing
- Neural network modeling and identification of dynamical systems
- Neural network principles
- Neural network projects with Python : the ultimate guide to using Python to explore the true power of neural networks through six projects
- Neural network-based state estimation of nonlinear systems : application to fault detection and isolation
- Neural network-based state estimation of nonlinear systems : application to fault detection and isolation
- Neural networks
- Neural networks
- Neural networks : a comprehensive foundation
- Neural networks : a systematic introduction
- Neural networks : a systematic introduction
- Neural networks : an introductory guide for social scientists
- Neural networks : an introductory guide for social scientists
- Neural networks : computational models and applications
- Neural networks : methodology and applications
- Neural networks : tricks of the trade
- Neural networks and analog computation : beyond the Turing limit
- Neural networks and animal behavior
- Neural networks and artificial intelligence for biomedical engineering
- Neural networks and deep learning : a textbook
- Neural networks and deep learning : a textbook
- Neural networks and learning machines
- Neural networks and micromechanics
- Neural networks and natural intelligence
- Neural networks and pattern recognition in human-computer interaction
- Neural networks and psychopathology : connectionist models in practice and research
- Neural networks and psychopathology : connectionist models in practice and research
- Neural networks and qualitative physics
- Neural networks and sea time series : reconstruction and extreme-event analysis
- Neural networks and statistical learning
- Neural networks and their applications
- Neural networks for applied sciences and engineering : from fundamentals to complex pattern recognition
- Neural networks for conditional probability estimation : forecasting beyond point predictions
- Neural networks for hydrological modelling
- Neural networks for intelligent signal processing
- Neural networks for optimization and signal processing
- Neural networks for pattern recognition
- Neural networks for pattern recognition
- Neural networks for perception
- Neural networks in C++: an object-oriented framework for building connectionist systems
- Neural networks in QSAR and drug design
- Neural networks in a softcomputing framework
- Neural networks in chemical reaction dynamics
- Neural networks in computer intelligence
- Neural networks in vision and pattern recognition
- Neural networks with Keras cookbook : over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
- Neural networks with R : smart models using CNN, RNN, deep learning, and artificial intelligence principles
- Neural networks: a comprehensive foundation
- Neural networks: algorithms, applications, and programming techniques
- Neural networks: an introduction
- Neural networks: theoretical foundations and analysis
- Neural preprocessing and control of reactive walking machines : towards versatile artificial perception-action systems
- Neural representations of natural language
- Neural smithing : supervised learning in feedforward artificial neural networks
- Neural-based orthogonal data fitting : the EXIN neural networks
- Neural-symbolic cognitive reasoning
- Neural-symbolic cognitive reasoning
- Neuro-fuzzy associative machinery for comprehensive brain and cognition modelling
- Neurobionics : the biomedical engineering of neural prostheses
- Neuromorphic and Brain-Based Robots
- Neuromorphic olfaction
- New backpropagation algorithm with type-2 fuzzy weights for neural networks
- New classification method based on modular neural networks with the LVQ algorithm and type-2 fuzzy logic
- New directions in statistical signal processing : from systems to brain
- New directions in statistical signal processing : from systems to brain
- Non-linear feedback neural networks : VLSI implementations and applications
- Nonlinear H2/H [infinity] constrained feedback control : a practical design approach using neural networks
- Nonlinear biomedical signal processing
- Nonlinear biomedical signal processing, Volume 1, Fuzzy logic, neural networks, and new algorithms
- Nonlinear biomedical signal processing, Volume 2, Dynamic analysis and modeling
- Nonlinear biomedical signal processing, Volume II, Dynamic analysis and modeling
- On the construction of artificial brains
- On-line learning in neural networks
- Operative neuromodulation : Neural networks surgery, v.2
- Outcome prediction in cancer
- Outcome prediction in cancer
- Parallel algorithms for digital image processing, computer vision and neural networks
- Parallel architectures for artificial neural networks : paradigms and implementations
- Pattern classification : a unified view of statistical and neural approaches
- Pattern recognition and neural networks
- Pattern recognition and neural networks
- Pattern recognition using neural networks : theory and algorithms for engineers and scientists
- Perception of multiple objects: a connectionist approach
- Perception-action cycle : models, architectures and hardware
- Perceptrons : an introduction to computational geometry
- Perspectives of neural-symbolic integration
- Perspectives of neural-symbolic integration
- Principal component neural networks : theory and applications
- Principles of artificial neural networks
- Process neural networks : theory and applications
- Pulsed neural networks
- PyTorch Recipes : A Problem-Solution Approach
- Python deep learning : exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow
- Qualitative analysis and control of complex neural networks with delays
- Quantum neural computation
- Radar Waveform Design Based on Optimization Theory
- Radial basis function (RBF) neural network control for mechanical systems : design, analysis and Matlab simulation
- Real-time multi-chip neural network for cognitive systems
- Recent advances in intelligent control systems
- Reconfigurable Cellular Neural Networks and Their Applications
- Recurrent neural networks for prediction : learning algorithms, architectures, and stability
- Recurrent neural networks for short-term load forecasting : an overview and comparative analysis
- Reinforcement learning with TensorFlow : a beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
- Robot navigation from nature : simultaneous localisation, mapping, and path planning based on hippocampal models
- Robust and fault-tolerant control : neural-network-based solutions
- Scientific applications of neural nets : proceedings of the 194th W.E. Heraeus Seminar held at Bad Honnef, Germany, 11-13 May 1998
- Semi-Empirical Neural Network Modeling and Digital Twins Development
- Sensitivity analysis for neural networks
- Simulating neural networks with Mathematica
- Simulating the mind : a technical neuropsychoanalytical approach
- Single neuron computation
- Solving problems in environmental engineering and geosciences with artificial neural networks
- Space-time computing with temporal neural networks
- Speech, audio, image and biomedical signal processing using neural networks
- Static and dynamic neural networks : from fundamentals to advanced theory
- Statistical and evolutionary analysis of biological networks
- Statistical mechanics of learning
- Statistical mechanics of learning
- Stochastic neural networks : implementation of stochastic neural network for approximating random processes
- Supervised learning with complex-valued neural networks
- Supervised sequence labelling with recurrent neural networks
- Talking nets : an oral history of neural networks
- Techniques and applications of neural networks
- TensorFlow 2.0 quick start guide : get up to speed with the newly introduced features of TensorFlow 2.0
- TensorFlow reinforcement learning quick start guide : get up and running with training and deploying intelligent, self-learning agents using Python
- Tensorflow 1.x deep learning cookbook
- The Neurobiology of neural networks
- The application of neural networks in the earth system sciences : neural networks emulations for complex multidimensional mappings
- The computational brain
- The fundamentals of computational intelligence : system approach
- The harmonic mind : from neural computation to optimality-theoretic grammar
- The making of a neuromorphic visual system
- The making of a neuromorphic visual system
- Theory of neural information processing systems
- Third International Conference on Artificial Neural Networks
- Time-space, spiking neural networks and brain-inspired artificial intelligence
- Total recall : how the E-memory revolution will change everything
- Traffic control and transport planning : a fuzzy sets and neural networks approach
- Trends in neural computation
- Type-2 fuzzy neural networks and their applications
- Understanding neural networks and fuzzy logic : basic concepts and applications
- Universality and emergent computation in cellular neural networks
- Wavelet neural networks : with applications in financial engineering, chaos, and classification
- What should be computed to understand and model brain function? : from robotics, soft computing, biology and neuroscience to cognitive philosophy

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`<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/resource/3LyspnMhOzs/" typeof="CategoryCode http://bibfra.me/vocab/lite/Concept"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/resource/3LyspnMhOzs/">Neural networks (Computer science)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">University of Liverpool</a></span></span></span></span></div>`