Analog VLSI Neural Networks -

Analog VLSI Neural Networks

A Special Issue of Analog Integrated Circuits and Signal Processing

Yoshiyasu Takefuji (Herausgeber)

Buch | Softcover
131 Seiten
2012
Springer-Verlag New York Inc.
978-1-4613-6592-1 (ISBN)
160,49 inkl. MwSt
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.

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.

Reihe/Serie The Springer International Series in Engineering and Computer Science ; 191
Zusatzinfo IV, 131 p.
Verlagsort New York, NY
Sprache englisch
Maße 195 x 260 mm
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Naturwissenschaften Physik / Astronomie Thermodynamik
Technik Elektrotechnik / Energietechnik
ISBN-10 1-4613-6592-9 / 1461365929
ISBN-13 978-1-4613-6592-1 / 9781461365921
Zustand Neuware
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