From the contents:Neural networks - theory and applications: NNs (= neural networks) classifier on continuous data domains- quantum associative memory - a new class of neuron-like discrete filters to image processing - modular NNs for improving generalisation properties - presynaptic inhibition modelling for image processing application - NN recognition system for a curvature primal sketch - NN based nonlinear temporal-spatial noise rejection system - relaxation rate for improving Hopfield network - Oja's NN and influence of the learning gain on its dynamics Genetic algorithms - theory and applications: transposition: a biological-inspired mechanism to use with GAs (= genetic algorithms) - GA for decision tree induction - optimising decision classifications using GAs - scheduling tasks with intertask communication onto multiprocessors by GAs - design of robust networks with GA - effect of degenerate coding on GAs - multiple traffic signal control using a GA - evolving musical harmonisation - niched-penalty approach for constraint handling in GAs - GA with dynamic population size - GA with dynamic niche clustering for multimodal function optimisationSoft computing and uncertainty: self-adaptation of evolutionary constructed decision trees by information spreading - evolutionary programming of near optimal NNs
Inhaltsverzeichnis
Plenary talks. - Topological Approach to Fuzzy Sets and Fuzzy Logic. - Linking Human Neural Processes Directly with Technology the Future? . - Neural Dynamic Model for Optimization of Complex Systems. - I: Neural Networks Theory and Applications. - Comparative Testing of Hyper-Planar Classifiers on Continuous Data Domains. - A Quantum Associative Memory Based on Grover s Algorithm. - Newton Filters: a New Class of Neuron-Like Discrete Filters and an Application to Image Processing. - Improving Generalisation Using Modular Neural Networks. - The Role and Modelling of Presynaptic Inhibition in the Visual Pathway: Applications in Image Processing. - A Curvature Primal Sketch Neural Network Recognition System. - Using GMDH Neural Net and Neural Net with Switching Units to Find Rare Particles. - A Neural Network Based Nonlinear Temporal-Spatial Noise Rejection System. - Improving the Performance of the Hopfield Network by Using a Relaxation Rate. - A New Activation Function in the Hopfield Network for Solving Optimization Problems. - On-line Learning of Object Representations. - A Neural Network Model for Blast Furnace Wall Temperature Pattern Classification. - Monitoring an Industrial Plastic Injection Moulding Machine Using Neural Networks. - Rates of Learning in Gradient and Genetic Training of Recurrent Neural Networks. - Influence of the Learning Gain on the Dynamics of Oja s Neural Network. - ATR s Artificial Brain Project: CAM-Brain Machine (CBM) and Robot Kitten (Robokoneko) Issues. - A Speaker-Independent Arabic Isolated-Spoken Digits Recognition System Using Fuzzy Kohonen Clustering Network. - Control of Complex of Parallel Operations Using Neural Network. - Using Smoothing Splines in Time Series Prediction with Neural Networks. - Evolvable Hardware Chips for Neural NetworkApplications. - Direct Inverse Control of Sensors by Neural Networks for Static/Low Frequency Applications. - Centre and Variance Selection for Gaussian Radial Basis Function Artificial Neural Networks. - Minimum Square-Error Modeling of the Probability Density Function. - Adaptation of NN Complexity to Empirical Information. - The RBF Neural Network in Approximate Dynamic Programming. - Adaptive Modularity and Time-Series Prediction. - Some Comparisons between Linear Approximation and Approximation by Neural Networks. - II: Genetic Algorithms Theory and Applications. - Transposition: a Biological-Inspired Mechanism to Use with Genetic Algorithms. - Genetic Algorithms for Decision Tree Induction. - Optimising Decision Classifications Using Genetic Algorithms. - Scheduling Tasks with Nonnegligible Intertask Communication onto Multiprocessors by Using Genetic Algorithms. - Design of Robust Networks of Specific Topologies Using a Genetic Algorithm. - The Effect of Degenerate Coding on Genetic Algorithms. - Genetic Algorithms for the Identification of the Generalised Erlang Laws Parameters Used in Systems Dependability Studies. - Multiple Traffic Signal Control Using a Genetic Algorithm. - Evolving Musical Harmonisation. - A Niched-Penalty Approach for Constraint Handling in Genetic Algorithms. - A Genetic Algorithm with Dynamic Population Size. - A Genetic Algorithm with Dynamic Niche Clustering for Multimodal Function Optimisation. - Time and Size Limited Harvesting Models of Genetic Algorithm. - A General Model of Co-evolution for Genetic Algorithms. - Selection of Informative Inputs Using Genetic Algorithms. - III: Soft Computing and Uncertainty. - Parallel Evolutionary Algorithms with SOM-Like Migration and Their Application to Real-World Data Sets. - Skewed Crossover and the DynamicDistributed Database Problem. - Improved Pseudo-Relaxation Learning Algorithm for Robust Bidirectional Associative Memory. - Self-Adaptation of Evolutionary Constructed Decision Trees by Information Spreading. - Evolutionary Programming of Near-Optimal Neural Networks. - Exploring the Relationship Between Neural Network Topology and Optimal Training Set by Means of Genetic Algorithms. - Development of Fuzzy Learning Vector Quantization Neural Network for Artiflcal Odor Discrimination System. - Differential Inclusions Mapping Simplexes to Simplexes. - Crossbar Adaptive Array: The First Connectionist Network That Solved the Delayed Reinforcement Learning Problem. - An Evolutionary Algorithm for a Non-standard Scheduling Problem. - An Evolutionary Approach to Concept Learning with Structured Data. - Genetic Redundancy: Desirable or Problematic for Evolutionary Adaptation? . - Dynamic Systems Modelling with Evolving Cellular Automata.
