In this paper we investigate multi-layer perceptron networks in the task domain of Boolean functions. We demystify the multi-layer perceptron network by showing that it just divides the input space into regions constrained by hyperplanes. We use this information to construct minimal training sets. D
✦ LIBER ✦
Limitations of multi-layer perceptron networks - steps towards genetic neural networks
✍ Scribed by H Mühlenbein
- Book ID
- 107919265
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 614 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0167-8191
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