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010   $a1-68108-090-7
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100   $a20160613d2015      uy|            0
101 0 $aeng
135   $aur|n|---|||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aArtificial neural systems $eprinciple and practice /$fauthored by Pierre Lorrentz, University of Kent, United Kingdom
210  1$aSharjah :$cBentham Science Publishers Limited,$d[2015]
215   $a1 online resource (245 p.)
300   $aDescription based upon print version of record.
311   $a1-68108-091-5 
320   $aIncludes bibliographical references and index.
327   $aCONTENTS; 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
327   $aINTRODUCTIONDENSITY 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
327   $aQuantum 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
327   $aRESEARCH 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
327   $aIntroduction: 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
327   $aHYBRID MARKOV CHAIN (HMC)
606   $aNeural networks (Computer science)
615  0$aNeural networks (Computer science)
700   $aLorrentz$b Pierre$01532616
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910797702003321
996   $aArtificial neural systems$93778870
997   $aUNINA