This paper presents a mapping scheme for the proposed implementation of neural network models on systolic arrays. The mapping technique is illustrated on the multilayer perceptron with back-propagation learning. Dependency graphs have been given that represent the operations in the execution phases
โฆ LIBER โฆ
Mapping neural networks onto message-passing multicomputers
โ Scribed by Joydeep Ghosh; Kai Hwang
- Publisher
- Elsevier Science
- Year
- 1989
- Tongue
- English
- Weight
- 560 KB
- Volume
- 6
- Category
- Article
- ISSN
- 0743-7315
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Proper implementation strategies should be followed to fully exploit the potential of artificial neural nets (ANNs). This in turn depends on the selection of an appropriate mapping scheme, especially while implementing neural nets in parallel processing environment. In this paper, we discuss the map