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Download StatisticsSemenova, O. and Semenov, A. and Koval, K. and Rudyk, A. and Chuhov, V. (2013) The Fuzzy Neural Networks with Ternary Encoding. International Siberian Conference on Control and Communications (SIBCON).
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Title in English
The Fuzzy Neural Networks with Ternary Encoding
English abstract
When combining fuzzy logic and neural networks it is possible to get a hybrid system that can process uncertain values and can be trained. Fuzzy logic elements can be regarded as fuzzy-neural networks. In order to present a set of fuzzy values the ternary encoding is used. Three fuzzy neural networks on linear neurons are proposed. The first operates as a fuzzy logical minimum element, the second does as a fuzzy logical maximum element, the third – as a fuzzy logical complement element.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Index Terms—fuzzy, neural network, ternary |
| Subjects: | За напрямами > Усі спеціальності |
| Depositing User: | С. В. Бойчук |
| Date Deposited: | 08 May 2018 10:05 |
| Last Modified: | 08 May 2018 10:05 |
| URI: | http://ep3.nuwm.edu.ua/id/eprint/9546 |
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