Analog VLSI Neural Networks
Springer (Verlag)
978-0-7923-9273-6 (ISBN)
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.
| Erscheint lt. Verlag | 30.11.1992 |
|---|---|
| Reihe/Serie | The Springer International Series in Engineering and Computer Science ; 191 |
| Zusatzinfo | IV, 131 p. |
| Verlagsort | Dordrecht |
| Sprache | englisch |
| Maße | 203 x 254 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Technik ► Elektrotechnik / Energietechnik | |
| ISBN-10 | 0-7923-9273-6 / 0792392736 |
| ISBN-13 | 978-0-7923-9273-6 / 9780792392736 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
