The Fuzzy Neural Networks with Ternary Encoding

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Semenova, 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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