Artificial neural systems: principles and practice.

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FOREWORD PREFACE Principles Neurons A BIOLOGICAL NEURON Synaptic Transmission TRANSMISSION ACROSS SYNAPSES AN ARTIFICIAL NEURON CONFLICT OF INTEREST ACKNOWLEDGEMENTS REFERENCES Basic Neurons INTEGRATE-AND-FIRE NEURON PROBABILITY STEIN MODEL OF NEURON CONFLICT OF INTEREST ACKNOWLEDGEMENTS REFERENCES Basic Fuzzy Neuron and Fundamentals of ANN A FUZZY NEURON The Fuzzy-logic Neuron PRINCIPLES OF ARTIFICIAL NEURAL NETWORK ANALYSIS AND DESIGN The Wave Neural Networks CONFLICT OF INTEREST ACKNOWLEDGEMENTS REFERENCES Fundamental Algorithms and Methods. INTRODUCTIONDENSITY BASED ALGORITHMS: CLUSTERING ALGORITHMS NATURE-BASED ALGORITHMS Evolutionary Algorithm and Programming Genetic Algorithm GA Operators APPLICATIONS OF GENETIC ALGORITHM NETWORK METHOD: EDGES AND NODES MULTI-LAYERED PERCEPTRON REAL-TIME APPLICATIONS OF STATE-OF-THE-ART ANN SYSTEMS DEFINITION OF ARTIFICIAL NEURAL NETWORKS (ANN) Intelligence An Artificial Neural Network (ANN) system PERFORMANCE MEASURES Receiver's Operating Characteristics (ROC) Hypothesis Testing Chi-squared (Goodness-of-fit) Test CONFLICT OF INTEREST ACKNOWLEDGEMENTS REFERENCES. Quantum Logic and Classical Connectivity INTRODUCTION QUANTUM LOGIC AND QUANTUM MATHEMATICS Quantum Gates (Primitives) Quantum Algebra QUANTUM NEURAL NETWORK CLASSICAL PRIMITIVES AND WEIGHTS Memristance HODGKIN-HUXLEY NEURON CONFLICT OF INTEREST ACKNOWLEDGEMENTS REFERENCES Practices Learning Methods INTRODUCTION THE ADAPTIVE LINEAR NEURON (ADALINE) THE RECURSIVE-LEAST-SQUARE (RLS) ALGORITHM MULTI-AGENT NETWORK NEUROMORPHIC NETWORK BAYESIAN NETWORKS Gaussian Mixture Model K-means Radial Basis Function (RBF) Generative Topographic Mapping (GTM) NEURO-FUZZY SYSTEM. RESEARCH AND APPLICATIONS OF ANN SYSTEMSCONFLICT OF INTEREST ACKNOWLEDGEMENTS REFERENCES Neural Networks INTRODUCTION WEIGHTLESS NETWORKS Probabilistic Convergent Network (PCN) PCN Network Architecture Learning or Training Recognition or Classification THE ENHANCED PROBABILISTIC CONVERGENT NETWORK (EPCN) THE EPCN Recognition procedure The EPCN Software Implementation A WEIGHTED NETWORK Multi-Layer Perceptron (MLP) Industrial Applications of MLP BAYESIAN NETWORKS Mixture Density Network (MDN) Helmholtz Machine THE DYNAMICS AND EVALUATION OF ANN SYSTEMS. Introduction: Chi-Squared Probability Density FunctionThe Dynamics Fusion Generalized Likelihood Ratio Test (GLRT) GLRT Procedure: Wald Test Wald Test Procedure: CONFLICT OF INTEREST ACKNOWLEDGEMENTS REFERENCES Selection and Combination Strategy of ANN Systems INTRODUCTION FACTORIAL SELECTION Comparison to Other Similar Coding Scheme for Multi-class Problems THE GROUP METHOD OF SELECTION Topology of GMDH Applications of GMDH CONFLICT OF INTEREST ACKNOWLEDGEMENTS REFERENCES Probability-based Neural Network Systems INTRODUCTION RANDOM-NUMBER GENERATORS MARKOV CHAIN.