Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005, ProceedingsWlodzislaw Duch The two volume set LNCS 3696 and LNCS 3697 constitutes the refereed proceedings of the 15th International Conference on Artificial Neural Networks, ICANN 2005, held in Warsaw, Poland in September 2005. The over 600 papers submitted to ICANN 2005 were thoroughly reviewed and carefully selected for presentation. The first volume includes 106 contributions related to Biological Inspirations; topics addressed are modeling the brain and cognitive functions, development of cognitive powers in embodied systems spiking neural networks, associative memory models, models of biological functions, projects in the area of neuroIT, evolutionary and other biological inspirations, self-organizing maps and their applications, computer vision, face recognition and detection, sound and speech recognition, bioinformatics, biomedical applications, and information- theoretic concepts in biomedical data analysis. The second volume contains 162 contributions related to Formal Models and their Applications and deals with new neural network models, supervised learning algorithms, ensemble-based learning, unsupervised learning, recurent neural networks, reinforcement learning, bayesian approaches to learning, learning theory, artificial neural networks for system modeling, decision making, optimalization and control, knowledge extraction from neural networks, temporal data analysis, prediction and forecasting, support vector machines and kernel-based methods, soft computing methods for data representation, analysis and processing, data fusion for industrial, medical and environmental applications, non-linear predictive models for speech processing, intelligent multimedia and semantics, applications to natural language processing, various applications, computational intelligence in games, and issues in hardware implementation. |
Contents
New Neural Network Models | 1 |
A Neural Network Model for Interproblem Adaptive Online Time | 7 |
Discriminant Parallel Perceptrons | 13 |
Learning Theory | 14 |
A Way to Aggregate Multilayer Neural Networks | 19 |
Generalized Net Models of MLNN Learning Algorithms | 25 |
Monotonic Multilayer Perceptron Networks as Universal Approximators | 31 |
Short Term Memories and Forcing the Reuse of Knowledge | 39 |
BispectrumBased Statistical Tests for | 540 |
Some Issues About the Generalization of Neural Networks for Time | 559 |
Support Vector Machines and KernelBased Methods | 571 |
Temporal Sound Processing by Cochlear Nucleus Octopus Neurons | 583 |
The LCCP for Optimizing Kernel Parameters for | 589 |
Action Understanding and Imitation Learning in a RobotHuman | 595 |
Training HMMANN Hybrid Speech Recognizers by Probabilistic | 597 |
Reducing the Effect of OutVoting Problem in Ensemble Based | 607 |
Interpolation Mechanism of Functional Networks | 45 |
Modelling Path Integrator Recalibration Using Hippocampal Place Cells | 51 |
Supervised Learning Algorithms | 52 |
Rough SetsBased Recursive Learning Algorithm for Radial Basis | 59 |
A Gradient Rule for the Plasticity of a Neurons Intrinsic Excitability | 65 |
Support Vector Neural Training | 67 |
Building the Cerebellum in a Computer | 71 |
The Development of Cognitive | 79 |
Nonlinear Regression with Piecewise Affine Models Based on RBFN | 85 |
Associative Learning in Hierarchical Self Organizing Learning | 91 |
A Review of Cognitive Processing in the Brain | 97 |
Overcoming | 103 |
OnLine RealTime Oriented Application for Neuronal Spike Sorting | 109 |
A Spiking Neural Sparse Distributed Memory Implementation | 115 |
Combination Methods for Ensembles of RBFs | 121 |
Emergence of Oriented Cell Assemblies Associated with | 127 |
Combination Methods for Ensembles of | 133 |
Linear Dimension Reduction Based on the FourthOrder Cumulant | 151 |
Activity in Recurrent | 153 |
Efficient Source Detection Using IntegrateandFire Neurons | 167 |
Recurrent Neural Networks | 169 |
Models of Selfcorrelation Type ComplexValued Associative Memories | 180 |
Global Stability Conditions of Locally Recurrent Neural Networks | 190 |
Optimal Triangle Stripifications as Minimum Energy States | 199 |
Dual Memory Model for Using Preexisting Knowledge in Reinforcement | 203 |
Models of Biological Functions | 205 |
Statistical Properties of Lattices Affect Topographic Error | 215 |
Completely Selfreferential Optimal Reinforcement Learners | 223 |
Bayesian Approaches to Learning | 241 |
A New Method of Learning Bayesian Networks Structures from | 260 |
Comparative Investigation into Classical and Spiking Neuron | 269 |
Manifold Constrained Variational Mixtures | 279 |
A Biomimetic Sonar System | 283 |
Induced Weights Artificial Neural Network | 295 |
New Ears for a Robot Cricket | 297 |
Evolutionary and Other Biological Inspirations | 311 |
A First Approach to Solve Classification Problems Based on Functional | 313 |
Sequential Classification of Probabilistic Independent Feature Vectors | 331 |
A New RBF Neural Network Based Nonlinear Selftuning PoleZero | 350 |
Optimal Control Yields Power Law Behavior | 365 |
Evolving Modular FastWeight Networks for Control | 383 |
Application of Domain Neural Network to Optimization Tasks | 397 |
A Neurocomputational Approach to Decision Making and Aging | 411 |
An OffPolicy Natural Policy Gradient Method for a Partial Observable | 430 |
Increasing Reliability of SOMs Neighbourhood Structure with | 433 |
Improved Simpler Neural Controllers for Lamprey Swimming | 445 |
Pattern Detection Using Fast Normalized Neural Networks | 447 |
A Modular SingleHiddenLayer Perceptron for Letter Recognition | 461 |
Identification of FrequencyDomain Volterra Model Using Neural | 464 |
Neural Network | 479 |
Neural Network Based Adult Image Classification | 481 |
A Novel Method for Extracting Knowledge from Neural Networks with | 497 |
Accurate and Robust Image Superresolution by Neural Processing | 499 |
The Emergence of Visual Object Recognition | 507 |
Combining GAs and RBF Neural Networks for Fuzzy Rule Extraction | 521 |
Cellular Neural Networks for Color Image Segmentation | 525 |
Bioinformatics | 611 |
LSSVM Hyperparameter Selection with a Nonparametric Noise | 625 |
Medical Document Categorization Using a Priori Knowledge | 641 |
Componentwise Support Vector Machines for Structure Detection | 643 |
A Neurofuzzy Methodology for the Diagnosis of WirelessCapsule | 647 |
Memory in BackpropagationDecorrelation ON Efficient Online | 649 |
Soft Computing Methods for Data Representation | 655 |
An Inductive Learning Algorithm with a Partial Completeness | 661 |
InformationTheoretic Concepts | 665 |
A Neural Network for Text Representation | 667 |
A Fuzzy Approach to Some Set Approximation Operations | 673 |
Connectionist Modeling of Linguistic Quantifiers | 679 |
Early Detection of Alzheimers Disease by Blind Source Separation | 683 |
Fuzzy Rule Extraction Using Recombined RecBF for VeryImbalanced | 685 |
An Iterative Artificial Neural Network for High Dimensional Data | 691 |
Linguistic Data Summaries | 697 |
Data Fusion for Industrial Medical | 703 |
An Ensemble | 709 |
Modified Cost Functions for Modelling Air Quality Time Series | 723 |
Communicative Interactivity A Multimodal Communicative Situation | 741 |
Combining Measurement Quality into Monitoring Trends in Foliar | 760 |
Face Detection Using Convolutional Neural Networks and Gabor | 772 |
Nonlinear Predictive Models for Speech Processing | 778 |
Predictive Kohonen Map for Speech Features Extraction | 793 |
Learning Ontology Alignments Using Recursive Neural Networks | 811 |
A Fuzzy Extension of SWRL | 829 |
An Analytic Distance Metric for Gaussian Mixture Models with | 835 |
Applications to Natural Language Proceesing | 853 |
Face Identification Performance Using Facial Expressions | 871 |
Neural Coding Model of Associative Ontology with UpDown State | 873 |
A New Probabilistic Neural Network for Fault Detection in MEMS | 887 |
Support Vector Machine for Recognition of Bioproducts in Gasoline | 899 |
Detecting Compounded Anomalous SNMP Situations Using | 905 |
Using Multilayer Perceptrons to Align High Range Resolution Radar | 911 |
Approximating the NeymanPearson Detector for Swerling I Targets | 917 |
Classification of Face Images for Gender Age Facial Expression | 918 |
Completing Hedge Fund Missing Net Asset Values Using Kohonen | 923 |
Selforganizing Map Which Maps a Group | 925 |
Neural Architecture for Concurrent Map Building and Localization | 929 |
New Neural Network Based Mobile Location Estimation in | 935 |
Lagrange Neural Network for Solving CSP Which Includes Linear | 943 |
Modelling Engineering Problems Using Dimensional Analysis | 949 |
Research on Electrotactile Representation Technology Based | 955 |
Application of Bayesian MLP Techniques to Predicting Mineralization | 962 |
Solving Satisfiability Problem by Parallel Execution of Neural Networks | 969 |
Computational Intelligence | 975 |
Evolution of Heuristics for GiveAway Checkers | 981 |
Nonlinear Relational Markov Networks with an Application to | 989 |
Flexible Decision Process for Astronauts in Marsbase Simulator | 997 |
Issues in Hardware Implementation | 1003 |
The Role of Membrane Threshold and Rate in STDP Silicon Neuron | 1009 |
Systolic Realization of Kohonen Neural Network | 1015 |
A RealTime FPGA Based Biologically Plausible Neural Network | 1021 |
Balancing Guidance Range and Strength Optimizes Selforganization | 1027 |
Acknowledgements to the Reviewers | 1035 |
Other editions - View all
Artificial Neural Networks: Formal Models and Their Applications – ICANN ... Wlodzislaw Duch No preview available - 2005 |
Artificial Neural Networks: Formal Models and Their Applications – ICANN ... Wlodzislaw Duch No preview available - 2005 |
Common terms and phrases
analysis applied approach approximation architecture Artificial Neural Networks average backpropagation Bayesian Bayesian Network Berlin Heidelberg 2005 calculated classifiers clustering combination Computer database dataset defined denotes density dimensional distribution domain Duch dynamic eigenvectors ensemble equation error estimate example experiments extraction feature fuzzy Gaussian genetic algorithm gradient Heidelberg hidden layer ICANN IEEE initial input space input vector introduced kernel learning algorithm linear LNCS Machine Learning matrix maximization method minimization multilayer perceptron neurons nodes nonlinear obtained optimal output paper parameters patterns perceptron performance power iteration prediction probability problem proposed Recurrent Neural Networks regression regressors Reinforcement Learning RNNs robot rule samples Section selection sequence signal simulation Springer-Verlag Berlin Heidelberg subspace Support Vector Machines Table target task techniques theorem tion training data training set units update values variables Volterra series weights