NDLI: Neural assembly generation by selective connection weight updating

Content Provider	IEEE Xplore Digital Library
Author	Kakemoto, Y. Nakasuka, S.
Copyright Year	2010
Description	Author affiliation: The Open University of JAPAN, 2-11 Wakaba, Mihama-ku, Chiba JAPAN (Kakemoto, Y.) \|\| The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, JAPAN (Nakasuka, S.)
Abstract	In this paper, a neural network model, which learns symbols is introduced. VSF-Network(Vibration Synchronizing Function Network) is a hybrid neural network combining a chaos neural network with a hierarchical network. It has an ability for a incremental learning of patters by abstracting input data. VSF-Network finds unknown elements in data based on clusters generated by chaos neurons. VSF-Network generates sub-networks while it learns new patterns based on the information about the clusters. When a combination of learned patterns is presented, VSF-network recognizes them by combining its sub-networks. In this paper, an incremental learning model to examine the dynamics of VSF-network is introduced. The performances of the incremental learning by VSF-network are shown through the two tasks and the discussion about the combination form of the sub-networks generated by VSF-Network.
Starting Page	1
Ending Page	6
File Size	857411
Page Count	6
File Format	PDF
ISBN	9781424469161
ISSN	10987576
e-ISBN	9781424469185
DOI	10.1109/IJCNN.2010.5596716
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-18
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	nonlinear dynamics Assemble learning Complex system Chaos Neural network Knowledge acquisition
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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