NLP2010-1 On the Chaos Associative Memory with Tchebycheff Activation Function
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概要
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In this paper we shall put forward a novel chaos neuron model and investigate the dynamic properties of memory retrievals. The present artificial neuron model is defined by such periodic input-output mapping as the Tchebycheff function of the second kind. It is apparently shown that the present neural network with a periodic activation function has an ability of the retrievals of the embedded patterns superior than the conventional neural network with such a monotonous mapping. This advantage is considered to be as a result of the nonmonotonous property of the periodic mapping which involves a chaotic behaviour of the neurons. It is also found that the present chaos neuron model has a remarkably larger memory capacity than the conventional association system with the monotonous dynamics. These findings are considered to result from the chaotic dynamics to avoid at an unfavourable spurious states.
- 2010-06-11
著者
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NAKAGAWA Masahiro
Department of Electrical Engineering, Faculty of Engineering, Nagaoka University of Technology
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Nakagawa Masahiro
Department Of Electrical Engineering Faculty Of Engineering Nagaoka University Of Technology
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Nakagawa Masahiro
Deparment Of Electrical Engineering Faculty Of Engineering Nagaoka University Of Technology
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