Title :
Development of a new neuro-fuzzy hybrid system
Author_Institution :
Dept. of Comput. Sci., Pyongtaek Univ., South Korea
Abstract :
There are many neuro-fuzzy hybrid systems which resolve some problems in the traditional fuzzy inference system. To resolve these problems, how to effectively combine neuro-fuzzy systems is very important. In this paper, I will propose an effective hybrid system methodology by stepwise performance evaluations. I will apply the proposed system to DC series motors in order to evaluate the validity of the proposed system. Also, how to resolve some problems of the traditional inference system will be shown here.
Keywords :
DC motors; fuzzy neural nets; fuzzy reasoning; DC series motor; fuzzy inference system; neuro-fuzzy hybrid system; stepwise performance evaluation; Analytical models; Biological neural networks; Brain modeling; Computer science; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Humans; Parallel processing; System performance;
Conference_Titel :
Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
Print_ISBN :
0-7803-8730-9
DOI :
10.1109/IECON.2004.1432322