On a fuzzy neural control systems and its applications
Wu Xiao · Dianji yu kongzhi xuebao · 1999
A new model of fuzzy neural control systems(FNCS) with the combination of fuzzylogic and neural networks is investigated. This model is able to express rules of fuzzy knowledge(fuzzy if--then rules). The architecture and the hybrid learning algorithms of the model arealso proposed. Numerical experiment on 105 pairs of rice test data is presented. Simulationresults show the proposed model has better performance than that of general fuzzy systems.