Algorithms and Architectures: Algorithms and Architectures v. 1, Pt. 1 (Neural Network Systems Techniques and Applications)

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9780124438613: Algorithms and Architectures: Algorithms and Architectures v. 1, Pt. 1 (Neural Network Systems Techniques and Applications)
Reseña del editor:

This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples.
This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems.
A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering.

Key Features
* Radial Basis Function networks
* The Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks
* Weight initialization
* Fast and efficient variants of Hamming and Hopfield neural networks
* Discrete time synchronous multilevel neural systems with reduced VLSI demands
* Probabilistic design techniques
* Time-based techniques
* Techniques for reducing physical realization requirements
* Applications to finite constraint problems
* Practical realization methods for Hebbian type associative memory systems
* Parallel self-organizing hierarchical neural network systems
* Dynamics of networks of biological neurons for utilization in computational neuroscience
Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering, will find this volume a unique and comprehensive reference to a broad array of algorithms and architectures

Reseña del editor:

This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering. It includes topics such as: Radial Basis Function networks; the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks; weight initialization; fast and efficient variants of Hamming and Hopfield neural networks; discrete time synchronous multilevel neural systems with reduced VLSI demands; probabilistic design techniques; time-based techniques; techniques for reducing physical realization requirements; applications to finite constraint problems; practical realization methods for Hebbian type associative memory systems; parallel self-organizing hierarchical neural network systems; and dynamics of networks of biological neurons for utilization in computational neuroscience. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering, will find this volume a unique and comprehensive reference to a broad array of algorithms and architectures.

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Editorial: Elsevier Science Publishing Co Inc, United States (1997)
ISBN 10: 012443861X ISBN 13: 9780124438613
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Descripción Elsevier Science Publishing Co Inc, United States, 1997. Hardback. Estado de conservación: New. 237 x 159 mm. Language: English . Brand New Book. This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems. A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering. Nº de ref. de la librería AA59780124438613

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Descripción Academic Press 1998-02-09, 1998. Hardcover. Estado de conservación: New. Nº de ref. de la librería NU-GRD-05493368

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Cornelius T. Leondes
Editorial: Elsevier Science Publishing Co Inc, United States (1997)
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Descripción Elsevier Science Publishing Co Inc, United States, 1997. Hardback. Estado de conservación: New. 237 x 159 mm. Language: English . Brand New Book. This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems. A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering. Nº de ref. de la librería AA59780124438613

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Cornelius T. Leondes
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Descripción Elsevier Science Publishing Co Inc 1997-10-13, San Diego, 1997. hardback. Estado de conservación: New. Nº de ref. de la librería 9780124438613

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Cornelius T. Leondes
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Descripción Elsevier Science Publishing Co Inc. Hardback. Estado de conservación: new. BRAND NEW, Neural Network Systems, Techniques, and Applications: v. 1, Pt. 1: Algorithms and Architectures, Cornelius T. Leondes, This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering. It includes topics such as: Radial Basis Function networks; the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks; weight initialization; fast and efficient variants of Hamming and Hopfield neural networks; discrete time synchronous multilevel neural systems with reduced VLSI demands; probabilistic design techniques; time-based techniques; techniques for reducing physical realization requirements; applications to finite constraint problems; practical realization methods for Hebbian type associative memory systems; parallel self-organizing hierarchical neural network systems; and dynamics of networks of biological neurons for utilization in computational neuroscience. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering, will find this volume a unique and comprehensive reference to a broad array of algorithms and architectures. Nº de ref. de la librería B9780124438613

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Leondes, Cornelius T.
Editorial: Academic Press (1997)
ISBN 10: 012443861X ISBN 13: 9780124438613
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Descripción Academic Press, 1997. Estado de conservación: New. Presents algorithms and architectures for the realization of neural network systems. This book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. It includes topics such as: Radial Basis Function networks; weight initialization; time-based techniques; among others. Series Editor(s): Leondes, Cornelius T. Num Pages: 460 pages, b&w illustrations. BIC Classification: UYA; UYF; UYQN. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 29. Weight in Grams: 840. . 1997. 1st Edition. Hardcover. . . . . . Nº de ref. de la librería V9780124438613

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Descripción Hardback. Estado de conservación: New. Not Signed; This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effect. book. Nº de ref. de la librería ria9780124438613_rkm

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Leondes, Cornelius T.
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Descripción Academic Press. Estado de conservación: New. Presents algorithms and architectures for the realization of neural network systems. This book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. It includes topics such as: Radial Basis Function networks; weight initialization; time-based techniques; among others. Series Editor(s): Leondes, Cornelius T. Num Pages: 460 pages, b&w illustrations. BIC Classification: UYA; UYF; UYQN. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 29. Weight in Grams: 840. . 1997. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780124438613

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