Artificial Neural Nets and Genetic Algorithms : Proceedings of the International Conference in Prague, Czech Republic, 2001

The papers in this volume present theoretical insights and reports on successful applications of articifical neural networks and genetic algorithms. A dual affinity with biology is shown as several papers deal with cognition, neurocontrol, and biologically inspired brain models and others describe successful applications of computational methods to biology and environmental science. Theoretical contributions cover a variety of topics including nonlinear approximation by feedforward networks, representation of spiking perceptrons by classical ones, recursive networks and associative memories, learning and generalization, population attractors, and proposal and analysis of new genetic operators or measures. These theoretical studies are augmented by a wide selection of application-oriented papers on topics ranging from signal processing, control, pattern recognition and times series prediction to routing tasks. To keep track of the rapid development of the field of computational intelligence, the scope of the conference has been extended to hybrid methods and tools for which neural networks and evolutionary algorithms are combined with methods of soft computing, fuzzy logic, probabilistic computing, and symbolic artificial intelligence, to computer-intensive methods in control and data processing, and to data mining in meteorology and air pollution.

Part I: Plenary Talks and Tutorials: What Can a Neural Network Do without Scaling Activation Function? (Y. Ito); Ratio Scales Are Critical for Modeling Neural Synthesis in the Brain (T. L. Saaty); Hypermatrix of the Brain (T. L. Saaty); The Computational Capabilities of Neural Networks (J. Šíma).- Part II: Neural Networks – Theory: Activation Functions (N. C. Steele, C. R. Reeves, E.I. Gaura); A Simulation of Spiking Neurons by Sigmoid Neurons (V. Kvasnicka); Tightness of Upper Bounds on Rates of Neural-Network Approximation (V. Kurkova, M. Sanguineti); Incremental Function Approximation Based on Gram-Schmidt Orthonormalisation Process (B. Beliczynski); Wavelet Based Smoothing in Time Series Prediction with Neural Networks (U. Lotric, A. Dobnikar); Fitting Densities and Hazard Functions with Neural Networks (C. Reeves, C. Johnston); Optimization of Expensive Functions by Surrogates Created from Neural Network Ensembles (J. Pospíchal); Local-Global Neural Networks for Interpolation (C. E. Pedreira, L. C. Pedroza, M. Fariñas); Improving the Competency of Classifiers through Data Generation (H. L. Viktor, I. Skrypnik; Graded Rescaling in Hopfield Networks (X. Zeng, T. R. Martinez); Principles of Associative Computation (A. Wichert, B. Lonsinger-Miller); An Experimental Assessment of the Performance of Several Associative Memory Models (S. P. Turvey, S. P. Hunt, N. Davey, R. J. Frank); Recall Time in Densely Encoded Hopfield Network: Results from KFS Theory and Computer Simulation(A. A. Frolov, D. Husek, P. Combe, V. Snásel); On-Line Identification and Rule Extraction of Finite State Automata with Recurrent Neural Networks (I. Gabrijel, A. Dobnikar); Using Decision Surface Mapping in the Automatic Recognition of Images (C. Reeves, G. S. Billan); Competitive Learning and Its Convergence Analysis (Y.-J. Zhang, Z.-Q. Liu); Structural Information Control for Flexible Competitive Learning (R. Kamimura, T. Kamimura, T. R. Shultz); Recursive Learning Scheme for Recurrent Neural Networks Using Simultaneous Perturbation and Its Application (Y. Maeda); Reinforcement Learning for Rule Generation (D. Vogiatzis, A. Stafylopatis); Learning Feed-Forward Multi-Nets (R. S. Venema, L. Spaanenburg); Unlearning in Feed-Forward Multi-Nets (L. Spaanenburg); Context Neural Network for Temporal Correlation and Prediction (L. F. Mingo, L. Aslanyan, J. Castellanos, V. Riazanov, M. A. Díaz); A Pruning Self-Organizing Algorithm to Select Centers of Radial Basis Function Neural Networks (L. N. de Castro, F. J. Von Zuben); Modular Clustering by Radial Basis Function Network for Complexity Reduction in System Modeling (Ö. Ciftcioglu, S. Sariyildiz); A Fuzzy Approach to Sociodynamical Interactions (D. W. Pearson, G. Dray); An Immunological Approach to Initialize Feedforward Neural Network Weights (L. N. de Castro, F. J. Von Zuben); How Certain Characteristics of Cortical Frequency Representation May Influence Our Perception of Sounds (L. Beñušková); Long Short-Term Memory Learns Context Free and Context Sensitive Languages (F. A. Gers, J. Schmidhuber); An Artificial Neural Network Model Based on Neuroscience: Looking Closely at the Brain (J. L. G. Rosa); STARBRAIN and EUROBRAIN, Starlab’s and Europe’s Artificial Brain Projects: An Overview (H. de Garis).- Part III: Neural Networks – Applications: Application of Feature Extraction in Text-to-Speech Processing (V. Šebesta, J. Tucková); Gaussian Synapse Networks for Handwritten Character Recognition (J. L. Crespo, R. J. Duro); A Generic Pretreatment for Spiking Neuron Application on Lipreading with STANN (Spatio-Temporal Artificial Neural Networks) (R. Séguier, D. Mercier); A Comparison of a Neural Network and an Observer Approach for Detecting Faults in a Benchmark System (D. N. Shields, S. Du, E. Gaura); A Neuro-Fuzzy Image Analysis System for Biomedical Imaging Applications (L. Patino, M. Razaz); Real Time Identification and Control of a DC Motor Using Recurrent Neural Networks (I. Baruch, J. M. Flores, R. Garrido, B. Nenkova); Recurrent Neural Networks in a Mobile Robot Navigation Task (B. Ster); Angular Memory and Supervisory Modules in a Neural Architecture for Navigating NOMAD (C. Silva, M. Crisóstomo, B. Ribeiro); A Recurrent Neural Network for Controlling a Fed-Batch Fermentation of B. t. (J. B. Cortés, I. Baruch, L. V. Castro, V. V. Cervantes); A Draft on Modelling the Behaviour of Bioreactor Landfill Using Neural Nets (L. Landryova, J. P. Robinson); Neural Network Combustion Optimisation in Naantali Power Plant (J. Mäkilä, J.-P. Jalkanen); Control Sensitivity SVM for Imbalanced Data: A Case Study on Automotive Material (K. K. Lee, C. J. Harris, S. R. Gunn, P. A. S. Reed); Analysis of Defectoscopy Data To Be Used by Neural Classifier (J. Grman, R. Ravas, L. Syrova); NeuroHough: A Neural Network for Computing the Hough Transform (M. Köppen, A. Soria-Frisch, R. Vicente-García); Fast Iris Detection Using Cooperative Modular Neural Nets (H. M. El-Bakry); Symbolic Representation of a Multi-Layer Perceptron (F. Mouria-Beji); Software Generation of Random Numbers by Using Neural Network (C.-K. Chan, C.-K. Chan, L. M. Cheng); FPGA Implementation of a Spike-Based Sound Localization System (M. Ponca, C. Schauer); A Simulator to Parallelise Large Biologically-Inspired Artificial Neural Networks (Y. Boniface); Time Perception and Reinforcement Learning: A Neural Network Model of Animal Experiments (J. L. Shapiro, J. Wearden).- Part IV: Genetic Algorithms – Theory: ADFs: An Evolutionary Approach to Predicate Invention (C. Giraud-Carrier, C. J. Kennedy); The Convergence Behavior of the PBIL Algorithm: A Preliminary Approach (C. González, J. A. Lozano, P. Larrañaga); Information Dimension of a Population’s Attractor in a Binary Genetic Algorithm (P. Kies); An Evolutionary Approach to the Zero/One Knapsack Problem: Testing Ideas from Biology (A. Simoes, E. Costa); An Evolutionary Approach to Identification of Nonlinear Dynamic Systems (M. Witczak, J. Korbicz); Measures for Non-Stationary Optimization Tasks (K. Trojanowski, A. Obuchowicz); The True Nature of Multi-Dimensional Gaussian Mutation (A. Obuchowicz); Multimodal Function Optimization Using Species Conservation (M.-E. Balázs, L. Jianping, G. T. Parks, P. J. Clarkson); Automatic Feature Selection by Genetic Algorithms (M. Eberhardt, F. W. H. Kossebau, A. König); Feature Subset Selection Problems: A Variable-Length Chromosome Perspective (C. M. Guerra-Salcedo); Mining Numeric Association Rules with Genetic Algorithms (J. Mata, J. L. Alvarez, J. C. Riquelme); Takeover Times of Noisy Non-Generational Selection Rules that Undo Extinction (G. Rudolph); Evolutionary Algorithms Aided by Sensitivity Information (T. Burczynski, P. Orantek).- Part V: Genetic Algorithms – Applications: Ants and Graph Coloring (J. Shawe-Taylor, J. Žerovnik); Evolutionary Optimization of a Wavelet Classifier for the Categorization of Beat-to-Beat Variability Signals (H. A. Kestler, M. Höher, G. Palm); Genetic Implementation of a Classifier Based on Data Separation by Means of Hyperspheres (M. Jirina, jr., J. Kubalík, M. Jirina); Evolving Order Statistics Filters for Image Enhancement (C. Munteanu, A. Rosa); GA-Based Non-linear Harmonic Estimation (M. Bettayeb, U. Qidwai); Scheduling Multiprocessor Tasks with Correlated Failures Using Population Learning Algorithm (P. Jedrzejowicz, E. Ratajczak); Fuzzy Availability Agent in a Virtual Environment (J. R. King. M. Razaz); The Flowering of Fuzzy CoCo: Evolving Fuzzy Iris Classifiers (C. A. Peña-Reyes, M. Sipper); Genetic Algorithm Based Parameters Identification for Power Transformer Thermal Overload Protection (V. Galdi, L. Ippolito, A. Piccolo, A. Vaccaro); Optimal Municipal Bus Routing Using a Genetic Algorithm (J. M. Suiter, D. H. Cooley); Rostering with a Hybrid Genetic Algorithm (M. Gröbner, P. Wilke); Design of Discrete Non-Linear Two-Degrees-of-Freedom PID Controllers Using Genetic Algorithms (P. B. de Moura Oliveira); Modification of the Particle Swarm Optimizer for Locating All the Global Minima (K. E. Parsopoulos, M. N. Vrahatis).- Part VI: Soft Computing – Applications: Computational Issues in Model Predictive Control (L. Chisci, G. Zappa); Motor Control Using Adaptive Time-Delay Learning (C. Ungerer); Comoputer Aided Prototyping of Repititive Distributed Control (J. Stanczyk); On Structure of Local Models for Hybrid Controllers (T. V. Guy, M. Kárný); Cerebellar Climbing Fibers Anticipate Error in Motor Performance (Y. Burnod, M. Dufossé, A. A. Frolov, A. Kaladjian, S. Rízek); Model of Neurocontrol of Anthropomorphic Systems (A. Frolov, S. Rízek, M. Dufossé); A Neural Model for Animats Brain (G. Beslon, H. Soula, J. Favrel); A Fuzzy Logic System Applied in Lightning Models (A. N. de Souza, I. N. da Silva, J. A. C. Ulson).- Part VII: Hybrid Methods and Tools: Multi-Agent Environment for Hybrid AI Models (R. Neruda, P. Krušina, Z. Petrová); Using Neural Networks and Genetic Algorithms as Building Blocks for Artificial Life Simulations (G. Beuster); A Hybrid Intelligent System for Image Matching, Used as Preprocessing for Signature Verification (J. Valyon, G. Horváth); A GA-ANN for the Eulerian Cycle Problem (T. Tambouratzis); Design of RBF Networks by Cooperative/Competitive Evolution of Units (A. J. Rivera, J. Ortega, A. Prieto); Avoiding Local Minima in ANN by Genetic Evolution (R. Mendes, P. Vale, J. M. Sousa, J. A. Roubos); A Genetic Designed Beta Basis Function Neural Network for Approximating Multi-Variables Functions (C. Aouiti, A. M. Alimi, A. Maalej); Optimization with Implicitly Known Objective Functions Using RBF Networks and Genetic (H. Nakayama, M. Arakawa, R. Sasaki); Hybrid Model of Cooling Tower Based on First Principles and Neural Networks (N. Milosavljevic, H. Saxén); Dynamic Handwriting Recognition Based on an Evolutionary Neural Classifier (S. Gentric, L. Prevost, M. Milgram).- Part VIII: Probabilistic Models and Clustering: Initial Description of Multi-Modal Dynamic Models (M. Kárný, P. Nedoma, I. Nagy, M. Valecková); Factorized EM Algorithm for Mixture Estimation (I. Nagy, P. Nedoma, M. Kárný); Number of Components and Initialization in Gaussian Mixture Model for Pattern Reco...