Artificial neural systems: principles and practice.

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.