2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05) Fuzzy-Neural Theory Applied to Web-Based Proactive Service Compi?gne University of Technology, France September 19-September 22 ISBN: 0-7695-2415-X
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2005.65
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.
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||