Franklin

Artificial neural systems : principle and practice / authored by Pierre Lorrentz, University of Kent, United Kingdom.

Author/Creator:
Lorrentz, Pierre, author.
Publication:
Sharjah : Bentham Science Publishers Limited, [2015]
Format/Description:
Book
1 online resource (245 p.)
Status/Location:
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Subjects:
Neural networks (Computer science).
Form/Genre:
Electronic books.
Contents:
CONTENTS; 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
HYBRID MARKOV CHAIN (HMC)
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
Description based on online resource; title from PDF title page (ebrary, viewed June 13, 2016).
ISBN:
1-68108-090-7
OCLC:
951065344