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Artificial neural nets and genetic algorithms : proceedings of the International Conference in Prague, Czech Republic, 2001

Author: V Kůrková
Publisher: Wien ; New York : Springer, ©2001.
Series: Springer computer science.
Edition/Format:   Print book : Conference publication : EnglishView all editions and formats

The first ICANNGA conference, devoted to biologically inspired computational paradigms, Neural Net- works and Genetic Algorithms, was held in Innsbruck, Austria, in 1993. We have chosen the  Read more...


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Genre/Form: Conference papers and proceedings
Material Type: Conference publication
Document Type: Book
All Authors / Contributors: V Kůrková
ISBN: 3211836519 9783211836514
OCLC Number: 47701381
Notes: "5th ICANNGA"--Preface.
Description: xiii, 504 pages : illustrations, maps ; 28 cm.
Contents: 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. Sima).- 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. Pospichal); Local-Global Neural Networks for Interpolation (C. E. Pedreira, L. C. Pedroza, M. Farinas); 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. Snasel); 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. Diaz); 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 (OE. 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. Benuskova); 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. Sebesta, J. Tuckova); 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. Seguier, 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. Crisostomo, B. Ribeiro); A Recurrent Neural Network for Controlling a Fed-Batch Fermentation of B. t. (J. B. Cortes, 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. Makila, 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. Koppen, A. Soria-Frisch, R. Vicente-Garcia); 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. Gonzalez, J. A. Lozano, P. Larranaga); 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. Balazs, L. Jianping, G. T. Parks, P. J. Clarkson); Automatic Feature Selection by Genetic Algorithms (M. Eberhardt, F. W. H. Kossebau, A. Konig); 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. Zerovnik); Evolutionary Optimization of a Wavelet Classifier for the Categorization of Beat-to-Beat Variability Signals (H. A. Kestler, M. Hoher, G. Palm); Genetic Implementation of a Classifier Based on Data Separation by Means of Hyperspheres (M. Jirina, jr., J. Kubalik, 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. Pena-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. Grobner, 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. Karny); Cerebellar Climbing Fibers Anticipate Error in Motor Performance (Y. Burnod, M. Dufosse, A. A. Frolov, A. Kaladjian, S. Rizek); Model of Neurocontrol of Anthropomorphic Systems (A. Frolov, S. Rizek, M. Dufosse); 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. Krusina, Z. Petrova); 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. Horvath); 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. Saxen); 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. Karny, P. Nedoma, I. Nagy, M. Valeckova); Factorized EM Algorithm for Mixture Estimation (I. Nagy, P. Nedoma, M. Karny); Number of Components and Initialization in Gaussian Mixture Model for Pattern Recognition (P. Paclik, J. Novovicova); Parallel Factorised Algorithms for Mixture Estimation (M. Tichy, B. Kovar); Method for Artefact Detection and Suppression Using Alpha-Stable Distributions (L. Tesar, A. Quinn); Model Selection with Small Samples (M. Sugiyama, H. Ogawa); A Data-Reusing Stochastic Approximation Algorithm for Neural Adaptive Filters (D. P. Mandic, I. R. Krcmar, W. Sherliker, G. Smith); Robust On-Line Statistical Learning (E. Capobianco); Efficient Sequential Minimal Optimisation of Support Vector Classifiers (G. C. Cawley); Model Selection for Support Vector Machines via Adaptive Step-Size Tabu Search (G. C. Cawley); Data Clustering Based on a New Objective Function (Z.-Q. Liu, Y.-J. Zhang); Dynamical Cluster Analysis for the Detection of Microglia Activation (A. Baune, A. Wichert, G. Glatting F. T. Sommer); Interpretation of Event-Related fMRI Using Cluster Analysis (A. Wichert, A. Baune, J. Grothe, G. Gron, H. Walter, F. T. Sommer); A Special-Purpose Neural Network Recogniser To Detect Non-Random Pattern on Control Charts (A. Anglani, M. Pacella, Q. Semeraro); Data Mining and Automation of Experts Decision Process Applied to Machine Design for Furniture Production (G. Klene, A. Grauel, H. J. Convey, A. J. Hartley).- Part IX: Data Mining in Meteorology and Air Pollution: Estimating Hourly Solar Radiation on Tilted Surface via ANNs (M. Gazela, T. Tambouratzis); On the Typology of Daily Courses of Tropospheric Ozone Concentrations (E. Pelikan, K. Eben, J. Vondracek, M. Dostal, P. Krejcir, J. Keder); GUHA Analysis of Air Pollution Data (D. Coufal); Application of the Surrogate Test to Detect Dynamic Non-Linearity in Ground-Level Ozone Time-Series from Berlin (U. Schlink, P. Haase); Nonlinearity and Prediction of Air Pollution (M. Palus E. Pelikan, K. Eben, P. Krejcir, P. Jurus); On Nonlinear Processing of Air Pollution Data (R. Foxall, I. Krcmar, G. Cawley, S. Dorling, D. P. Mandic); On Predictability of Atmospheric Pollution Time Series (I. R. Krcmar, P. Mandic, R. J. Foxall); Estimating the Costs Associated with Worthwhile Predictions of Poor Air Quality (G. C. Cawley, S. R. Dorling, R. J. Foxall, D. P. Mandic); Modelling Air Pollution Time-Series by Using Wavelet Functions and Genetic Algorithms (G. Nunnari, L. Bertucco); Predicting Daily Average S02 Concentrations in the Industrial Area of Syracuse (Italy) (G. Nunnari, L. Bertucco, D. Milio); Forecasting of Air Pollution at Unmonitored Sites (S. Lopes, M. Niranjan, J. Oakley); Applications of Neural Networks in Processing and Regionalization of Radiation Data (L. Metelka, S. Kliegrova)
Series Title: Springer computer science.
Responsibility: Věra Kůrková [and others] (eds.).


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