Iterative Middle Mapping Learning Algorithm for Cellular Neural Networks
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概要
- 論文の詳細を見る
In this paper, a middle-mapping learning algorithm for cellular associative memories is presented. This algorithm makes full use of the properties of the cellular neural network so that the associative memory has some advantages compared with the memory designed by the outer product method. It can guarantee each prototype is stored at an equilibrium point. In the practical implementation, it is easy to build up the circuit because the weight matrix presenting the connection between cells is not symmetric. The synchronous updating rule makes its associative speed very fast compared to the Hopfield associative memory.
- 社団法人電子情報通信学会の論文
- 1994-04-25
著者
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USHIDA Akio
Faculty of Engineering, Tokushima Bunri University
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Ushida Akio
Faculty Of Engineering Tokushima University
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He Chen
Faculty of Engineering, Tokushima University
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He Chen
Faculty Of Engineering Tokushima University
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