| Invariant set of weight of perceptron trained by perceptron training algorithm. | |
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MedLine Citation:
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PMID: 20199935 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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In this paper, an invariant set of the weight of the perceptron trained by the perceptron training algorithm is defined and characterized. The dynamic range of the steady-state values of the weight of the perceptron can be evaluated by finding the dynamic range of the weight of the perceptron inside the largest invariant set. In addition, the necessary and sufficient condition for the forward dynamics of the weight of the perceptron to be injective, as well as the condition for the invariant set of the weight of the perceptron to be attractive, is derived. |
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Authors:
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Charlotte Yuk-Fan Ho; Bingo Wing-Kuen Ling; Herbert Ho-Ching Iu |
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Publication Detail:
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Type: Journal Article Date: 2010-03-01 |
Journal Detail:
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Title: IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society Volume: 40 ISSN: 1941-0492 ISO Abbreviation: IEEE Trans Syst Man Cybern B Cybern Publication Date: 2010 Dec |
Date Detail:
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Created Date: 2010-11-16 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9890044 Medline TA: IEEE Trans Syst Man Cybern B Cybern Country: United States |
Other Details:
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Languages: eng Pagination: 1521-30 Citation Subset: IM |
Affiliation:
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School of Mathematical Sciences, Queen Mary,University of London, E14NS London, UK. c.ho@qmul.ac.uk |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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