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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Piuri, V. |
| Copyright Year | 1991 |
| Description | Author affiliation: Dept. of Electron., Politecnico di Milano, Italy (Piuri, V.) |
| Abstract | Artificial neural networks (ANNs) are an alternative solution to traditional architectures for massive computation in an increasing number of applications. Behavioral simulation of these computing paradigms requires the use of specific CAD tools to verify the correctness of structures and algorithms before starting the subsequent phases of design and implementation by means of digital, analog or mixed integrated circuits. This paper presents an approach to behavioral simulation which is independent from the technological solution used to implement the ANN. The proposal is based upon the use of the well-known electrical simulator SPICE. The mapping of the ANN entities onto electrical components is described and experimental results are discussed. |
| Starting Page | 18 |
| Ending Page | 29 |
| File Size | 952288 |
| Page Count | 12 |
| File Format | |
| ISBN | 0818621699 |
| DOI | 10.1109/SIMSYM.1991.151481 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1991-04-01 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | SPICE Computational modeling Artificial neural networks Circuit simulation Computer networks Analog computers Design automation Algorithm design and analysis Analog integrated circuits Digital integrated circuits |
| Content Type | Text |
| Resource Type | Article |
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