VLSI for Artificial Intelligence and Neural Networks
Overview
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. R ckert). Arrays for Neural Networks: A Highly Parallel Digital Architecture for Neural Network Emulation (D. Hammerstrom). 26 additional articles. Index.
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Details
- ISBN-13: 9780306440298
- ISBN-10: 0306440296
- Publisher: Plenum Publishing Corporation
- Publish Date: January 1992
- Dimensions: 9.61 x 6.69 x 0.94 inches
- Shipping Weight: 1.95 pounds
- Page Count: 432
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