Performance modeling of analog circuits via neural networks: the design process view
| Autor: | Joseph H. Nevin, B. Sobecks, Arthur J. Helmicki |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Artificial neural network
Analogue electronics Computer science Hardware description language Control engineering Process design Topology (electrical circuits) Integrated circuit design Nonlinear system Engineering design process computer Abstraction (linguistics) Electronic circuit computer.programming_language |
| Zdroj: | 1998 Midwest Symposium on Circuits and Systems (Cat. No. 98CB36268). |
| DOI: | 10.1109/mwscas.1998.759428 |
| Popis: | This paper presents a novel framework for modeling the performance of analog circuits and a methodology for constructing the corresponding models. The methodology uses simulator data to iteratively train neural networks in order to produce very accurate multivariate nonlinear models, which can be instantaneously evaluated. Results are presented for circuits at various levels of abstraction. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|