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

Sinopsis

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.

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