Presentation 1997/3/17
Successive Learning in Chaotic Neural Network
Yuko OSANA, Monotobu HATTORI, Masafumi HAGIWARA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a successive learning method in a chaotic neural network using continuous pattern input. It distinguishes an unknown pattern from the stored known patterns and learns the unknown pattern successively. In this model, when a known pattern is given to the network, around the input pattern is searched. In contrast, when an unknown pattern is given, a chaotic itinerancy is shown. In the proposed model, it makes use of the above property in order to distinguish an unknown pattern from the stored known patterns. When the input pattern is regarded as an unknown pattern, the pattern is memorized. Furthermore, it can estimate and learn a correct pattern from a noisy unknown pattern or an incomplete unknown pattern by summation of the successive input pattern. In addition, similarity to the physiological facts in the olfactory bulb of the rabbit found by Freeman are observed in the behavior of the proposed model. A series of computer simulations shows the effectiveness of the proposed model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Associative Memory / Chaotic Neural Network / Successive Learning
Paper # NC96-132
Date of Issue

Conference Information
Committee NC
Conference Date 1997/3/17(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Successive Learning in Chaotic Neural Network
Sub Title (in English)
Keyword(1) Associative Memory
Keyword(2) Chaotic Neural Network
Keyword(3) Successive Learning
1st Author's Name Yuko OSANA
1st Author's Affiliation Department of Electrical Engineering, Faculty of Science and Technology, Keio University()
2nd Author's Name Monotobu HATTORI
2nd Author's Affiliation Department of Electrical Engineering, Faculty of Science and Technology, Keio University
3rd Author's Name Masafumi HAGIWARA
3rd Author's Affiliation Department of Electrical Engineering, Faculty of Science and Technology, Keio University
Date 1997/3/17
Paper # NC96-132
Volume (vol) vol.96
Number (no) 583
Page pp.pp.-
#Pages 8
Date of Issue