Fuzzy clustering neural network and its application to water resources assessment
CHEN Shou-yu, LI Qing-guo(Dalian University of Technology, Dalian 116024,China)
On the basis of fuzzy set theory for engineering, the Kohonen clustering network was combined with adaptive resonance theory to develop a new kind of fuzzy neural network. The approach was applied to the assessment of regional water resources. The integration of network model into fuzzy pattern recognition theory greatly improved the learning ability of the network and the adoption of adaptive resonance theory can increase the number of network model pattern. The feasibility and effectiveness of this proposed model and methodology were verified by an example.
【CateGory Index】： TV211