This paper considers the classification properties of two-layer networks of McCulloch Pitts units from a theoretical point of view. In particular we consider their ability to realise exactly, as opposed to approximate, bounded decision regions in R 2 . The main result shows that a two-layer network
Parity with two layer feedforward nets
β Scribed by J.M. Minor
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 186 KB
- Volume
- 6
- Category
- Article
- ISSN
- 0893-6080
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β¦ Synopsis
A key issue about neural net fimctionality is the parity mapping function which is related to high order multiplication. This paper shows a simple two layer neural net fimction for mapping parity and proving minimum number of necessao, hidden units.
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