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Associative neural memories--a class of artificial neural networks--are among the most extensively studied and best understood neural paradigms. This volume brings together pioneering work on associative neural memory and hardware implementation by leading international researchers. The first part describes associative neural models that have close connections to biological or psychological aspects of memory, and demonstrates the important contributions that neurobiology can make to the design of artificial neural networks. Subsequent parts of the book present more complex extensions of the simple memory models, studying their recall capabilities, analyzing various characteristics-- such as capacity, convergence dynamics, and fault tolerance--and describing the hardware implementation of such memories. This book will be of interest to computer science professionals and students as well as to cognitive scientists interested in neural networks.
"This wide-ranging book delivers precisely what it clearly promises." --Simulator Quarterly "Some of the papers will be cited as reference for many years to come....The single most important book for the applied neural networks community that I reviewed in this group. Neural networkers will want to read this collection from cover to cover." --Philip Chapnick, AI Expert "This volume brings together significant papers on associative neural memory theory (architecture, learning, analysis, and design) and hardware implementation (VLSI and opto-electronic) by leading international researchers."--Quarterly of Applied Mathematics
Number Of Pages: 372
Published: 1st August 1993
Country of Publication: US
Dimensions (cm): 23.0 x 16.0 x 3.18
Weight (kg): 0.95