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Published Articles >> Table of Contents >> Abstract
2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05)
pp. 116-119
Fuzzy-Neural Theory Applied to Web-Based Proactive Service
Yuan-chao Li, China University of Petroleum
Xiao-dong Wu, China University of Petroleum
De-gan Zhang, University of Science and Technology
Guang-ping Zeng, University of Science and Technology
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2005.65
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| Abstract |
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In order to realize proactive service, we
design and improve relative fuzzy-neural
approaches. Generally, the network can be
classified into two. One is that fuzzy logic reasoning
is completed by fuzzy weight in neural system. The
other is that the input data must be fuzzified in the
first or second level, but not weight. We discuss and
study the second sort fuzzification in this paper. For
proactive decision, fusion method based on
fuzzy-neural can make Web-based intelligent system
keep advantage of fuzzy logic system and remain
adaptive optimum in proactive/attentive service.
The correctness and validity of our new approach
have been tested.
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 Additional Information
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Citation:
Yuan-chao Li, Xiao-dong Wu, De-gan Zhang, Guang-ping Zeng,
"Fuzzy-Neural Theory Applied to Web-Based Proactive Service,"
wi,
pp. 116-119,
2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05),
2005
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