A synthesis system based on a circuit simulator and a silicon assembler for analog neural networks to be implemented in MOS technology is presented. The system approximates on-chip training of the neural network under consideration and provides the best starting point for 'chip-in-the-loop training'
An analog continuous-time neural network
β Scribed by Knut Soelberg; Roy Ludvig Sigvartsen; Tor Sverre Lande; Yngvar Berg
- Publisher
- Springer
- Year
- 1994
- Tongue
- English
- Weight
- 736 KB
- Volume
- 5
- Category
- Article
- ISSN
- 0925-1030
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Standard-cell design methodology is an important technique in semicustom-VLSI design. It lends itself to the easy automation of the crucial layout part, and many algorithms have been proposed in recent literature for the efficient placement of standard cells. While many studies have identified the K
The following learning problem is considered, for continuous-time recurrent neural networks having sigmoidal activation functions. Given a "black box" representing an unknown system, measurements of output derivatives are collected, for a set of randomly generated inputs, and a network is used to ap