DocumentCode :
475588
Title :
Research on Hybrid Applications of Intelligent Techniques with Neural Networks
Author :
Zhong, Luo ; Guo, Cuicui ; Song, Huazhu
Author_Institution :
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan
Volume :
1
fYear :
2008
fDate :
3-4 Aug. 2008
Firstpage :
37
Lastpage :
41
Abstract :
Neural networks technology has been applied in many fields successfully, under common implementation environment of symbol computation system, for each intelligent technique, they could just reinforce each other except for taking place. This paper will mainly discuss some hot branches in hybrid applications of intelligent techniques with neural networks technology, and its implementation. From large amount of experiments and datum, by building up mathematical model, it is exactly precise to predict the relationship among elements in system, and the scale of error values comparing with the ideal outputs is under control by using certain revising hybridizing algorithm.
Keywords :
fuzzy logic; knowledge based systems; neural nets; symbol manipulation; hybrid applications; intelligent techniques; neural networks; revising hybridizing algorithm; symbol computation system; Computer networks; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Genetic algorithms; Hybrid intelligent systems; Intelligent networks; Neural networks; application; hybrid; intelligent technique; neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3290-5
Type :
conf
DOI :
10.1109/CCCM.2008.270
Filename :
4609464
Link To Document :
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