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- catalog abstract "Using models of biological systems as springboards to a broad range of applications, this volume presents the basic ideas of neural networks in mathematical form. Comprehensive in scope, Neural Network Principles outlines the structure of the human brain, explains the physics of neurons, derives the standard neuron state equations, and presents the consequences of these mathematical models. Author Robert L. Harvey derives a set of simple networks that can filter, recall, switch, amplify, and recognize input signals that are all patterns of neuron activation. The author also discusses properties of general interconnected neuron groups, including the well-known Hopfield and perception neural networks using a unified approach along with suggestions of new design procedures for both. He then applies the theory to synthesize artificial neural networks for specialized tasks. In addition, Neural Network Principles outlines the design of machine vision systems, explores motor control of the human brain and presents two examples of artificial hand-eye systems, demonstrates how to solve large systems of interconnected neurons, and considers control and modulation in the human brain-mind with insights for a new understanding of many mental illnesses.".
- catalog contributor b7773630.
- catalog created "c1994.".
- catalog date "1994".
- catalog date "c1994.".
- catalog dateCopyrighted "c1994.".
- catalog description "1. Introduction -- 2. Neuron Physics and State Equations -- 3. Simple Networks -- 4. Complex Networks -- 5. Vision Systems -- 6. Hand-Eye Systems -- 7. Advanced Design Methods -- 8. Brain Control and Modulation Systems -- 9. Philosophical Implications.".
- catalog description "Harvey derives a set of simple networks that can filter, recall, switch, amplify, and recognize input signals that are all patterns of neuron activation.".
- catalog description "In addition, Neural Network Principles outlines the design of machine vision systems, explores motor control of the human brain and presents two examples of artificial hand-eye systems, demonstrates how to solve large systems of interconnected neurons, and considers control and modulation in the human brain-mind with insights for a new understanding of many mental illnesses.".
- catalog description "Includes bibliographical references and index.".
- catalog description "The author also discusses properties of general interconnected neuron groups, including the well-known Hopfield and perception neural networks using a unified approach along with suggestions of new design procedures for both. He then applies the theory to synthesize artificial neural networks for specialized tasks.".
- catalog description "Using models of biological systems as springboards to a broad range of applications, this volume presents the basic ideas of neural networks in mathematical form. Comprehensive in scope, Neural Network Principles outlines the structure of the human brain, explains the physics of neurons, derives the standard neuron state equations, and presents the consequences of these mathematical models. Author Robert L.".
- catalog extent "ix, 197 p. :".
- catalog hasFormat "Neural network principles.".
- catalog identifier "0130633305".
- catalog isFormatOf "Neural network principles.".
- catalog issued "1994".
- catalog issued "c1994.".
- catalog language "eng".
- catalog publisher "Englewood Cliffs, NJ : Prentice Hall,".
- catalog relation "Neural network principles.".
- catalog subject "612.8 20".
- catalog subject "Models, Neurological.".
- catalog subject "Nerve Net.".
- catalog subject "Neural networks (Neurobiology)".
- catalog subject "QP363.3 .H37 1994".
- catalog subject "WL 102 H342n 1994".
- catalog tableOfContents "1. Introduction -- 2. Neuron Physics and State Equations -- 3. Simple Networks -- 4. Complex Networks -- 5. Vision Systems -- 6. Hand-Eye Systems -- 7. Advanced Design Methods -- 8. Brain Control and Modulation Systems -- 9. Philosophical Implications.".
- catalog title "Neural network principles / Robert L. Harvey.".
- catalog type "text".