Coverart for item
The Resource Artificial neural networks and machine learning -- ICANN 2013 : 23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings, Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro E. P. Villa, Bruno Appollini, Nikola Kasabov (eds.), (electronic book)

Artificial neural networks and machine learning -- ICANN 2013 : 23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings, Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro E. P. Villa, Bruno Appollini, Nikola Kasabov (eds.), (electronic book)

Label
Artificial neural networks and machine learning -- ICANN 2013 : 23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings
Title
Artificial neural networks and machine learning -- ICANN 2013
Title remainder
23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings
Statement of responsibility
Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro E. P. Villa, Bruno Appollini, Nikola Kasabov (eds.)
Title variation
ICANN 2013
Creator
Contributor
Editor of compilation
Subject
Genre
Language
eng
Summary
The book constitutes the proceedings of the 23rd International Conference on Artificial Neural Networks, ICANN 2013, held in Sofia, Bulgaria, in September 2013. The 78 papers included in the proceedings were carefully reviewed and selected from 128 submissions. The focus of the papers is on following topics:neurofinance graphical network models, brain machine interfaces, evolutionary neural networks, neurodynamics, complex systems, neuroinformatics, neuroengineering, hybrid systems, computational biology, neural hardware, bioinspired embedded systems, and collective intelligence
Member of
Cataloging source
GW5XE
Dewey number
006.3/2
Illustrations
illustrations
Index
index present
LC call number
QA76.87
LC item number
.I58 2013
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2013
http://bibfra.me/vocab/lite/meetingName
International Conference on Artificial Neural Networks (European Neural Network Society)
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Mladenov, Valeri
Series statement
  • Lecture Notes in Computer Science,
  • LNCS sublibrary. SL 1, Theoretical computer science and general issues
Series volume
8131
http://library.link/vocab/subjectName
Neural networks (Computer science)
Label
Artificial neural networks and machine learning -- ICANN 2013 : 23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings, Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro E. P. Villa, Bruno Appollini, Nikola Kasabov (eds.), (electronic book)
Instantiates
Publication
Note
  • International conference proceedings
  • Includes author index
Antecedent source
unknown
Bibliography note
Includes bibliographical references and author index
Color
multicolored
Contents
  • Johannes Schumacher, Hazem Toutounji and Gordon Pipa
  • Applying General-Purpose Data Reduction Techniques for Fast Time Series Classification
  • Stefanos Ougiaroglou ... [et al.]
  • Two-Layer Vector Perceptron
  • Vladimir Kryzhanovsky, Irina Zhelavskaya and Juan Antonio Clares Tomas
  • Local Detection of Communities by Neural-Network Dynamics
  • Hiroshi Okamoto
  • The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks
  • Jérémie Cabessa and Alessandro E. P. Villa
  • Group Fused Lasso
  • Neural Network Theory and Models.
  • Carlos M. Alaíz, Álvaro Barbero and José R. Dorronsoro
  • Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays
  • Farouk Chérif ... [et al.]
  • Variational Foundations of Online Backpropagation
  • Salvatore Frandina ... [et al.]
  • GNMF with Newton-Based Methods
  • Rafał Zdunek, Anh-Huy Phan and Andrzej Cichocki
  • Improving the Associative Rule Chaining Architecture
  • Nathan Burles, Simon O'Keefe and James Austin --
  • Hessian Corrected Input Noise Models
  • Botond Attila Bócsi and Lehel Csató
  • Model-Based Clustering of Temporal Data
  • Hani El Assaad ... [et al.]
  • Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data
  • Yuya Okadome ... [et al.]
  • An Analytical Approach to Single Node Delay-Coupled Reservoir Computing
  • Frank Sehnke
  • Direct Method for Training Feed-Forward Neural Networks Using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions
  • Artem Chernodub
  • Learning with Hard Constraints
  • Giorgio Gnecco ... [et al.]
  • Bidirectional Activation-based Neural Network Learning Algorithm
  • Igor Farkaš and Kristína Rebrová
  • A Neural Network Model for Online Multi-Task Multi-Label Pattern Recognition
  • Daisuke Higuchi and Seiichi Ozawa
  • Novel Feature Selection and Kernel-Based Value Approximation Method for Reinforcement Learning
  • Machine Learning and Learning Algorithms.
  • Hunor Sandor Jakab and Lehel Csató
  • Learning of Lateral Interactions for Perceptual Grouping Employing Information Gain
  • Martin Meier, Robert Haschke and Helge J. Ritter
  • On-Line Laplacian One-Class Support Vector Machines
  • Salvatore Frandina ... [et al.]
  • OSA: One-Class Recursive SVM Algorithm with Negative Samples for Fault Detection
  • Mikhail Suvorov ... [et al.] --
  • A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines
  • KyungHyun Cho ... [et al.]
  • A Low-Energy Implementation of Finite Automata by Optimal-Size Neural Nets
  • Jiří Šíma
  • A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory
  • Diego Peteiro-Barral and Bertha Guijarro-Berdiñas
  • Efficient Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE
  • Stephan Tschechne, Georg Layher and Heiko Neumann
  • Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation
  • Cristian Axenie and Jörg Conradt
  • Learning Sensorimotor Transformations with Dynamic Neural Fields
  • Yulia Sandamirskaya and Jörg Conradt
  • Cognitive Sciences and Neuroscience.
  • Learning Temporally Precise Spiking Patterns through Reward Modulated Spike-Timing-Dependent Plasticity
  • Brian Gardner and André Grüning
  • Memory Trace in Spiking Neural Networks
  • Marta Castellano and Gordon Pipa
  • Brain-Machine Interaction and Bio-inspired Systems.
  • Attention-Gated Reinforcement Learning in Neural Networks--A Unified View
  • Tobias Brosch, Friedhelm Schwenker and Heiko Neumann
  • Dynamic Memory for Robot Control Using Delay-Based Coincidence Detection Neurones
  • Francis Jeanson and Tony White
  • Robust Principal Component Analysis for Brain Imaging
  • Petia Georgieva and Fernando De la Torre --
  • EEG Dataset Reduction and Classification Using Wave Atom Transform
  • Ignas Martisius ... [et al.]
  • Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network
  • Stefan Heinrich, Cornelius Weber and Stefan Wermter
  • Unsupervised Online Calibration of a c-VEP Brain-Computer Interface (BCI)
  • Martin Spüler, Wolfgang Rosenstiel and Martin Bogdan
  • A Biologically Inspired Model for the Detection of External and Internal Head Motions
  • Sparseness Controls the Receptive Field Characteristics of V4 Neurons: Generation of Curvature Selectivity in V4
  • Yasuhiro Hatori, Tatsuroh Mashita and Ko Sakai
  • Pattern Recognition and Classification.
  • Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging
  • Juan Manuel Alonso-Weber> ... [et al.]
  • Echo State Networks in Dynamic Data Clustering
  • Petia Koprinkova-Hristova and Kiril Alexiev
  • Self-Organization in Parallel Coordinates
  • Marjan Trutschl, Phillip C. S. R. Kilgore and Urška Cvek
  • A General Image Representation Scheme and Its Improvement for Image Analysis
  • Phase Control of Coupled Neuron Oscillators
  • Hui Wei, Qingsong Zuo and Bo Lang
  • Learning Features for Activity Recognition with Shift-Invariant Sparse Coding
  • Christian Vollmer, Horst-Michael Gross and Julian P. Eggert
  • Hearing Aid Classification Based on Audiology Data
  • Christo Panchev, Muhammad Naveed Anwar and Michael Oakes
  • BLSTM-RNN Based 3D Gesture Classification
  • Grégoire Lefebvre ... [et al.] --
  • Mayumi Irifune and Robert H. Fujii
  • Dendritic Computations in a Rall Model with Strong Distal Stimulation
  • Youwei Zheng and Lars Schwabe
  • Modeling Action Verb Semantics Using Motion Tracking
  • Timo Honkela and Klaus Förger
  • Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping
  • Parimala Alva ... [et al.]
  • Feature Weighting by Maximum Distance Minimization
  • Jens Hocke and Thomas Martinetz
  • Training Computationally Efficient Smartphone-Based Human Activity Recognition Models
  • Davide Anguita ... [et al.]
  • A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers
  • Davide Anguita ... [et al.]
  • Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception
  • Enkelejda Tafaj ... [et al.]
  • Neural Network Applications in Control and Robotics.
  • Time-Series Forecasting of Indoor Temperature Using Pre-trained Deep Neural Networks
  • Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data
  • Pablo Romeu ... [et al.]
  • Recurrent Fuzzy-Neural Network with Fast Learning Algorithm for Predictive Control
  • Yancho Todorov, Margarita Terzyiska and Michail Petrov
  • Real-Time Interface Board for Closed-Loop Robotic Tasks on the SpiNNaker Neural Computing System
  • Christian Denk ... [et al.] --
  • Mashud Rana, Irena Koprinska and Abbas Khosravi
  • A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification
  • Julien Martel ... [et al.]
  • Exploration of Loneliness Questionnaires Using the Self-Organising Map
  • Krista Lagus ... [et al.]
  • An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS
  • Pablo V. A. Barros ... [et al.]
  • Learning to Walk Using a Recurrent Neural Network with Time Delay
  • Boudour Ammar ... [et al.]
  • The Imbalance Network and Incremental Evolution for Mobile Robot Nervous System Design
  • Paul Olivier and Juan Manuel Moreno Arostegui
  • Balancing of a Simulated Inverted Pendulum Using the NeuraBase Network Model
  • Robert Hercus, Kit-Yee Wong and Kim-Fong Ho
  • Coordinated Rule Acquisition of Decision Making on Supply Chain by Exploitation-Oriented Reinforcement Learning
  • Fumiaki Saitoh and Akihide Utani
  • Other Applications of Neural Networks.
  • Using Exponential Kernel for Word Sense Disambiguation
  • A Software Framework for Cognition, Embodiment, Dynamics, and Autonomy in Robotics: Cedar
  • Tinghua Wang, Junyang Rao and Dongyan Zhao
  • Independent Component Analysis Filtration for Value at Risk Modelling
  • Ryszard Szupiluk, Piotr Wojewnik and Tomasz Ząbkowski
  • Wind Power Resource Estimation with Deep Neural Networks
  • Frank Sehnke ... [et al.] --
  • Oliver Lomp ... [et al.]
  • Adaptive Critic Neural Network Solution of Optimal Control Problems with Discrete Time Delays
  • Tibor Kmet and Maria Kmetova
  • Emotion Generation System Considering Complex Emotion Based on MaC Model with Neural Networks
  • Tsubasa Takamatsu and Yuko Osana
  • Neuro-Optimal Controller for Robot Manipulators
  • Mohammed Boukens and Abdelkrim Boukabou
  • Using the Analytic Feature Framework for the Detection of Occluded Objects
  • Marvin Struwe, Stephan Hasler and Ute Bauer-Wersing
  • Boltzmann Machines for Image Denoising
  • KyungHyun Cho
  • Comparison on Late Fusion Methods of Low Level Features for Content Based Image Retrieval
  • Nikolay N. Neshov
  • Vehicle Plate Recognition Using Improved Neocognitron Neural Network
  • Dmitry Kangin, George Kolev and Plamen Angelov
  • Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance
  • Mashud Rana and Irena Koprinska
  • Interactive Two-Level WEBSOM for Organizational Exploration
  • Timo Honkela and Michael Knapek
  • Optimal Operation of Electric Power Production System without Transmission Losses Using Artificial Neural Networks Based on Augmented Lagrange Multiplier Method
  • George J. Tsekouras ... [et al.]
  • An Echo State Network with Working Memories for Probabilistic Language Modeling
  • Yukinori Homma and Masafumi Hagiwara
Control code
SPR858859794
Dimensions
unknown
Extent
1 online resource (xviii, 643 pages)
File format
unknown
Form of item
online
Isbn
9783642407284
Level of compression
unknown
Other control number
10.1007/978-3-642-40728-4
Other physical details
illustrations (some color)
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
Label
Artificial neural networks and machine learning -- ICANN 2013 : 23rd International Conference on Artificial Neural Networks Sofia, Bulgaria, September 10-13, 2013. Proceedings, Valeri Mladenov, Petia Koprinkova-Hristova, Günther Palm, Alessandro E. P. Villa, Bruno Appollini, Nikola Kasabov (eds.), (electronic book)
Publication
Note
  • International conference proceedings
  • Includes author index
Antecedent source
unknown
Bibliography note
Includes bibliographical references and author index
Color
multicolored
Contents
  • Johannes Schumacher, Hazem Toutounji and Gordon Pipa
  • Applying General-Purpose Data Reduction Techniques for Fast Time Series Classification
  • Stefanos Ougiaroglou ... [et al.]
  • Two-Layer Vector Perceptron
  • Vladimir Kryzhanovsky, Irina Zhelavskaya and Juan Antonio Clares Tomas
  • Local Detection of Communities by Neural-Network Dynamics
  • Hiroshi Okamoto
  • The Super-Turing Computational Power of Interactive Evolving Recurrent Neural Networks
  • Jérémie Cabessa and Alessandro E. P. Villa
  • Group Fused Lasso
  • Neural Network Theory and Models.
  • Carlos M. Alaíz, Álvaro Barbero and José R. Dorronsoro
  • Exponential Synchronization of a Class of RNNs with Discrete and Distributed Delays
  • Farouk Chérif ... [et al.]
  • Variational Foundations of Online Backpropagation
  • Salvatore Frandina ... [et al.]
  • GNMF with Newton-Based Methods
  • Rafał Zdunek, Anh-Huy Phan and Andrzej Cichocki
  • Improving the Associative Rule Chaining Architecture
  • Nathan Burles, Simon O'Keefe and James Austin --
  • Hessian Corrected Input Noise Models
  • Botond Attila Bócsi and Lehel Csató
  • Model-Based Clustering of Temporal Data
  • Hani El Assaad ... [et al.]
  • Fast Approximation Method for Gaussian Process Regression Using Hash Function for Non-uniformly Distributed Data
  • Yuya Okadome ... [et al.]
  • An Analytical Approach to Single Node Delay-Coupled Reservoir Computing
  • Frank Sehnke
  • Direct Method for Training Feed-Forward Neural Networks Using Batch Extended Kalman Filter for Multi-Step-Ahead Predictions
  • Artem Chernodub
  • Learning with Hard Constraints
  • Giorgio Gnecco ... [et al.]
  • Bidirectional Activation-based Neural Network Learning Algorithm
  • Igor Farkaš and Kristína Rebrová
  • A Neural Network Model for Online Multi-Task Multi-Label Pattern Recognition
  • Daisuke Higuchi and Seiichi Ozawa
  • Novel Feature Selection and Kernel-Based Value Approximation Method for Reinforcement Learning
  • Machine Learning and Learning Algorithms.
  • Hunor Sandor Jakab and Lehel Csató
  • Learning of Lateral Interactions for Perceptual Grouping Employing Information Gain
  • Martin Meier, Robert Haschke and Helge J. Ritter
  • On-Line Laplacian One-Class Support Vector Machines
  • Salvatore Frandina ... [et al.]
  • OSA: One-Class Recursive SVM Algorithm with Negative Samples for Fault Detection
  • Mikhail Suvorov ... [et al.] --
  • A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines
  • KyungHyun Cho ... [et al.]
  • A Low-Energy Implementation of Finite Automata by Optimal-Size Neural Nets
  • Jiří Šíma
  • A Distributed Learning Algorithm Based on Frontier Vector Quantization and Information Theory
  • Diego Peteiro-Barral and Bertha Guijarro-Berdiñas
  • Efficient Baseline-Free Sampling in Parameter Exploring Policy Gradients: Super Symmetric PGPE
  • Stephan Tschechne, Georg Layher and Heiko Neumann
  • Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation
  • Cristian Axenie and Jörg Conradt
  • Learning Sensorimotor Transformations with Dynamic Neural Fields
  • Yulia Sandamirskaya and Jörg Conradt
  • Cognitive Sciences and Neuroscience.
  • Learning Temporally Precise Spiking Patterns through Reward Modulated Spike-Timing-Dependent Plasticity
  • Brian Gardner and André Grüning
  • Memory Trace in Spiking Neural Networks
  • Marta Castellano and Gordon Pipa
  • Brain-Machine Interaction and Bio-inspired Systems.
  • Attention-Gated Reinforcement Learning in Neural Networks--A Unified View
  • Tobias Brosch, Friedhelm Schwenker and Heiko Neumann
  • Dynamic Memory for Robot Control Using Delay-Based Coincidence Detection Neurones
  • Francis Jeanson and Tony White
  • Robust Principal Component Analysis for Brain Imaging
  • Petia Georgieva and Fernando De la Torre --
  • EEG Dataset Reduction and Classification Using Wave Atom Transform
  • Ignas Martisius ... [et al.]
  • Embodied Language Understanding with a Multiple Timescale Recurrent Neural Network
  • Stefan Heinrich, Cornelius Weber and Stefan Wermter
  • Unsupervised Online Calibration of a c-VEP Brain-Computer Interface (BCI)
  • Martin Spüler, Wolfgang Rosenstiel and Martin Bogdan
  • A Biologically Inspired Model for the Detection of External and Internal Head Motions
  • Sparseness Controls the Receptive Field Characteristics of V4 Neurons: Generation of Curvature Selectivity in V4
  • Yasuhiro Hatori, Tatsuroh Mashita and Ko Sakai
  • Pattern Recognition and Classification.
  • Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging
  • Juan Manuel Alonso-Weber> ... [et al.]
  • Echo State Networks in Dynamic Data Clustering
  • Petia Koprinkova-Hristova and Kiril Alexiev
  • Self-Organization in Parallel Coordinates
  • Marjan Trutschl, Phillip C. S. R. Kilgore and Urška Cvek
  • A General Image Representation Scheme and Its Improvement for Image Analysis
  • Phase Control of Coupled Neuron Oscillators
  • Hui Wei, Qingsong Zuo and Bo Lang
  • Learning Features for Activity Recognition with Shift-Invariant Sparse Coding
  • Christian Vollmer, Horst-Michael Gross and Julian P. Eggert
  • Hearing Aid Classification Based on Audiology Data
  • Christo Panchev, Muhammad Naveed Anwar and Michael Oakes
  • BLSTM-RNN Based 3D Gesture Classification
  • Grégoire Lefebvre ... [et al.] --
  • Mayumi Irifune and Robert H. Fujii
  • Dendritic Computations in a Rall Model with Strong Distal Stimulation
  • Youwei Zheng and Lars Schwabe
  • Modeling Action Verb Semantics Using Motion Tracking
  • Timo Honkela and Klaus Förger
  • Evolution of Dendritic Morphologies Using Deterministic and Nondeterministic Genotype to Phenotype Mapping
  • Parimala Alva ... [et al.]
  • Feature Weighting by Maximum Distance Minimization
  • Jens Hocke and Thomas Martinetz
  • Training Computationally Efficient Smartphone-Based Human Activity Recognition Models
  • Davide Anguita ... [et al.]
  • A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers
  • Davide Anguita ... [et al.]
  • Online Classification of Eye Tracking Data for Automated Analysis of Traffic Hazard Perception
  • Enkelejda Tafaj ... [et al.]
  • Neural Network Applications in Control and Robotics.
  • Time-Series Forecasting of Indoor Temperature Using Pre-trained Deep Neural Networks
  • Feature Selection for Neural Network-Based Interval Forecasting of Electricity Demand Data
  • Pablo Romeu ... [et al.]
  • Recurrent Fuzzy-Neural Network with Fast Learning Algorithm for Predictive Control
  • Yancho Todorov, Margarita Terzyiska and Michail Petrov
  • Real-Time Interface Board for Closed-Loop Robotic Tasks on the SpiNNaker Neural Computing System
  • Christian Denk ... [et al.] --
  • Mashud Rana, Irena Koprinska and Abbas Khosravi
  • A Combination of Hand-Crafted and Hierarchical High-Level Learnt Feature Extraction for Music Genre Classification
  • Julien Martel ... [et al.]
  • Exploration of Loneliness Questionnaires Using the Self-Organising Map
  • Krista Lagus ... [et al.]
  • An Effective Dynamic Gesture Recognition System Based on the Feature Vector Reduction for SURF and LCS
  • Pablo V. A. Barros ... [et al.]
  • Learning to Walk Using a Recurrent Neural Network with Time Delay
  • Boudour Ammar ... [et al.]
  • The Imbalance Network and Incremental Evolution for Mobile Robot Nervous System Design
  • Paul Olivier and Juan Manuel Moreno Arostegui
  • Balancing of a Simulated Inverted Pendulum Using the NeuraBase Network Model
  • Robert Hercus, Kit-Yee Wong and Kim-Fong Ho
  • Coordinated Rule Acquisition of Decision Making on Supply Chain by Exploitation-Oriented Reinforcement Learning
  • Fumiaki Saitoh and Akihide Utani
  • Other Applications of Neural Networks.
  • Using Exponential Kernel for Word Sense Disambiguation
  • A Software Framework for Cognition, Embodiment, Dynamics, and Autonomy in Robotics: Cedar
  • Tinghua Wang, Junyang Rao and Dongyan Zhao
  • Independent Component Analysis Filtration for Value at Risk Modelling
  • Ryszard Szupiluk, Piotr Wojewnik and Tomasz Ząbkowski
  • Wind Power Resource Estimation with Deep Neural Networks
  • Frank Sehnke ... [et al.] --
  • Oliver Lomp ... [et al.]
  • Adaptive Critic Neural Network Solution of Optimal Control Problems with Discrete Time Delays
  • Tibor Kmet and Maria Kmetova
  • Emotion Generation System Considering Complex Emotion Based on MaC Model with Neural Networks
  • Tsubasa Takamatsu and Yuko Osana
  • Neuro-Optimal Controller for Robot Manipulators
  • Mohammed Boukens and Abdelkrim Boukabou
  • Using the Analytic Feature Framework for the Detection of Occluded Objects
  • Marvin Struwe, Stephan Hasler and Ute Bauer-Wersing
  • Boltzmann Machines for Image Denoising
  • KyungHyun Cho
  • Comparison on Late Fusion Methods of Low Level Features for Content Based Image Retrieval
  • Nikolay N. Neshov
  • Vehicle Plate Recognition Using Improved Neocognitron Neural Network
  • Dmitry Kangin, George Kolev and Plamen Angelov
  • Wavelet Neural Networks for Electricity Load Forecasting - Dealing with Border Distortion and Shift Invariance
  • Mashud Rana and Irena Koprinska
  • Interactive Two-Level WEBSOM for Organizational Exploration
  • Timo Honkela and Michael Knapek
  • Optimal Operation of Electric Power Production System without Transmission Losses Using Artificial Neural Networks Based on Augmented Lagrange Multiplier Method
  • George J. Tsekouras ... [et al.]
  • An Echo State Network with Working Memories for Probabilistic Language Modeling
  • Yukinori Homma and Masafumi Hagiwara
Control code
SPR858859794
Dimensions
unknown
Extent
1 online resource (xviii, 643 pages)
File format
unknown
Form of item
online
Isbn
9783642407284
Level of compression
unknown
Other control number
10.1007/978-3-642-40728-4
Other physical details
illustrations (some color)
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote

Library Locations

Processing Feedback ...