VLSI for Artificial Intelligence and Neural Networks (Hardcover) (ISBN-13: 9780306440298)

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.

Author: Will R. Moore,International Workshop on VLSI for Artif
ISBN-10: 0306440296
ISBN-13: 9780306440298
Publisher: Plenum Publishing Corporation
Language: English
Published: 01/31/1992
Pages: 432
Format: Hardcover
Weight: 1.95lbs
Size: 9.61h x 6.69w x 0.94d