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GUARANTEED STORING OF LIMIT-CYCLES INTO A DISCRETE-TIME ASYNCHRONOUS NEURAL NETWORK
被引：0
作者：
NOWARA, K
SAITO, T
机构：
来源：
关键词：
NEURAL NETWORK;
ASSOCIATIVE MEMORY;
LIMIT CYCLES;
CORRELATION MATRIX;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article discusses a synthesis procedure of a discrete-time asynchronous neural network whose information is a limit cycle. The synthesis procedure uses a novel connection matrix and can be reduced into a linear equation. If all elements of desired limit cycles are independent at each transition step, the equation can be solved and all desired limit cycles can be stored. In some experiments, our procedure exhibits much better storing performance than previous ones.
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页码：1579 / 1582
页数：4
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