We have developed a fuzzy neural expert system that has the precisionand learning ability of a neural network. Knowledge is acquired from domainexperts as fuzzy rules and membership functions. Then, they are converted...We have developed a fuzzy neural expert system that has the precisionand learning ability of a neural network. Knowledge is acquired from domainexperts as fuzzy rules and membership functions. Then, they are convertedinto a neural network which implements fuzzy inference without rule matching.The neural network is applied to problem-solving and learns from the dataobtained during operation to enhance the accuracy The learning ability of theneural network makes it easy to modify the membership functions defined bydomain experts. Also, by modifying the weights of neural networks adaptively,the problem of belief propagation in conventional expert systems can be solvedeasily. Converting the neural network back iato fuzzy rules and membershipfunctions helps explain the inner representation and operation of the neuralnetwork.展开更多
文摘We have developed a fuzzy neural expert system that has the precisionand learning ability of a neural network. Knowledge is acquired from domainexperts as fuzzy rules and membership functions. Then, they are convertedinto a neural network which implements fuzzy inference without rule matching.The neural network is applied to problem-solving and learns from the dataobtained during operation to enhance the accuracy The learning ability of theneural network makes it easy to modify the membership functions defined bydomain experts. Also, by modifying the weights of neural networks adaptively,the problem of belief propagation in conventional expert systems can be solvedeasily. Converting the neural network back iato fuzzy rules and membershipfunctions helps explain the inner representation and operation of the neuralnetwork.
