Analog Vlsi Neural Networks

Takefuji, Yoshiyasu (Editor)

ISBN 10: 0792392736 / ISBN 13: 9780792392736

Editore: Kluwer Academic Print on Demand, 1992

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160 pages. 10.25x7.75x0.75 inches. In Stock.

Codice articolo x-0792392736

Dati bibliografici

• Titolo: Analog Vlsi Neural Networks
• Editore: Kluwer Academic Print on Demand
• Data di pubblicazione: 1992
• Lingua: Inglese
• ISBN 10: 0792392736
• ISBN 13: 9780792392736
• Rilegatura: Hardcover
• Condizione: Brand New

Descrizione articolo

Riassunto

This book brings together in one place important contributions and state-of-the-art research in the rapidly advancing area of analog VLSI neural networks.
The book serves as an excellent reference, providing insights into some of the most important issues in analog VLSI neural networks research efforts.

Contenuti

Guest Editorial.- Analog Computational Models of Concept Formation.- An Analog BiCMOS Hopfield Neuron.- Full Analog CMOS Integration of Very Large Time Constants for Synaptic Transfer in Neural Networks.- A Hierarchical Clustering Network Based on a Model of Olfactory Processing.- CMOS Analog/Digital Circuits of the Hysteresis McCulloch-Pitts Neuron for Ramsey Numbers.- Competitive Learning in Asynchronous-Pulse-Density Integrated Circuits.- A Programmable Analog CMOS Synapse for Neural Networks.- Two-Stage Neural Network Architecture for Feedback Control of Dynamic Systems.- Temporal Signal Processing with High-Speed Hybrid Analog-Digital Neural Networks.- A Super Parallel Sorter Using a Binary Neural Network with AND-OR Synaptic Connections.