训练好的模糊神经网络即为一个模糊推理器。
The weights of the weighted fuzzy rules can be acquired by training the fuzzy neural network.
选取了控制器的输入、输出变量，构建了有25条规则的模糊推理器。
The input and output variables of control unit are selected and a fuzzy inference unit with 25 rules is constructed.
用乘积推理机、单值模糊器和中心平均解模糊化来计算输出。
Product inference engine, singleton fuzzifier and center average defuzzifier were used to calculate outputs.
应用推荐