VLSI for Artificial Intelligence and Neural Networks

Will R Moore

ISBN 10: 0306440296 / ISBN 13: 9780306440298

Editore: Springer, 1992

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Druck auf Anfrage Neuware - Printed after ordering - Architecture and Hardware Support for AI Processing: VLSI Design of a 3D Highly Parallel MessagePassing Architecture (J.L. Bechennec et al.). Architectural Design of the Rewrite Rule Machine Ensemble (H. Aida et al.). A Dataflow Architecture for AI (J. DelgadoFrias et al.). Machines for Prolog: An Extended Prolog Instruction Set for RISC Processors (A. Krall). A VLSI Engine for Structured Logic Programming (P. Civera et al.). Performance Evaluation of a VLSI Associative Unifier in a WAM Based Environment (P. Civera et al.). Analogue and Pulse Stream Neural Networks: Computational Capabilities of BiologicallyRealistic Analog Processing Elements (C. Fields et al.). Analog VLSI Models of Mean Field Networks (C. Schneider et al.). An Analogue Neuron Suitable for a Data Frame Architecture (W.A.J. Waller et al.). Digital Implementations of Neural Networks: The VLSI Implementation of the sigma Architecture (S.R. Williams et al.). A Cascadable VLSI Architecture for the Realization of Large Binary Associative Networks (W. Poechmueller et al.). Digital VLSI Implementations of an Associative memory Based on Neural Networks (U. Rückert). Arrays for Neural Networks: A Highly Parallel Digital Architecture for Neural Network Emulation (D. Hammerstrom). 26 additional articles. Index.

Codice articolo 9780306440298

Dati bibliografici

• Titolo: VLSI for Artificial Intelligence and Neural Networks
• Editore: Springer
• Data di pubblicazione: 1992
• Lingua: Inglese
• ISBN 10: 0306440296
• ISBN 13: 9780306440298
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 250 L x 175 A x 29 P (millimetri) 250 millimetri di larghezza per 175 millimetri di altezza per 29 millimetri di profondità
• Peso: 922 grammi

Descrizione articolo

Riassunto

A selection of 39 papers present novel and emerging approaches to VLSI implementation of machines for artificial intelligence and neural networks. The sections cover architecture and hardware support for artificial intelligence processing, machines for Prolog, analogue and pulse stream neural networks, digital implementations of neural networks, and arrays for neural networks. Annotation copyright Book News, Inc. Portland, Or.

Contenuti

Architecture and Hardware Support for AI Processing: VLSI Design of a 3D Highly Parallel MessagePassing Architecture (J.L. Bechennec et al.). Architectural Design of the Rewrite Rule Machine Ensemble (H. Aida et al.). A Dataflow Architecture for AI (J. DelgadoFrias et al.). Machines for Prolog: An Extended Prolog Instruction Set for RISC Processors (A. Krall). A VLSI Engine for Structured Logic Programming (P. Civera et al.). Performance Evaluation of a VLSI Associative Unifier in a WAM Based Environment (P. Civera et al.). Analogue and Pulse Stream Neural Networks: Computational Capabilities of BiologicallyRealistic Analog Processing Elements (C. Fields et al.). Analog VLSI Models of Mean Field Networks (C. Schneider et al.). An Analogue Neuron Suitable for a Data Frame Architecture (W.A.J. Waller et al.). Digital Implementations of Neural Networks: The VLSI Implementation of the sigma Architecture (S.R. Williams et al.). A Cascadable VLSI Architecture for the Realization of Large Binary Associative Networks (W. Poechmueller et al.). Digital VLSI Implementations of an Associative memory Based on Neural Networks (U. Rückert). Arrays for Neural Networks: A Highly Parallel Digital Architecture for Neural Network Emulation (D. Hammerstrom). 26 additional articles. Index.