Multiple-Valued Neuro-Algebra
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概要
- 論文の詳細を見る
A new arithmetic multiple-valued algebra with functional completeness is introduced. The algebra is called Neuro-Algebra for it has very similar formula and architecture to neural networks. Two canonical forms of multiple-valued functions of this Neuro-Algebra are presented. Since the arithmetic operations of the Neuro-Algebra are basically a weighted-sum and a piecewise linear operations, their implementations are very simple and straightforward. Furthermore, the multiple-valued networks based on the Neuro-Algebra can be trained by the traditional back-propagation learning algorithm directly.
- 社団法人電子情報通信学会の論文
- 1993-09-25
著者
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Tang Zheng
The Faculty Of Engineering Miyazaki University
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ISHIZUKA Okihiko
Miyazaki University
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ISHIZUKA Okihiko
The Faculty of Engineering, Miyazaki University
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Ishizuka Okihiko
The Faculty Of Engineering Miyazaki University
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Matsumoto Hiroki
The Faculty Of Engineering Miyazaki University
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