而且，理论上已经证明：模糊逻辑系统能以任意精度逼近一个非线性函数昭，B

Moreover, it has been theoretically proved that the fuzzy logic system can approximate a nonlinear function with arbitrary precision, and the BP neural network has the mapping ability, which shows that there is a close connection between the two. Therefore, combining the fuzzy logic system with the BP artificial neural network and learning from each other's strengths will definitely improve the field of information processing to a new level. In such a system, the neural network simulates the topological structure of the brain, that is, "hardware", and the fuzzy logic system simulates the thinking ability of information fuzzy processing, that is, "software." So the combination of the two produces the BP fuzzy neural network. <br>Fuzzy neural network is the unity of neural network and fuzzy logic, it has the properties that general pure neural network or fuzzy logic does not have. <br>(1) The calculation method of fuzzy mathematics is adopted, which makes the calculation simple and accelerates the speed of processing information ; <br>(2) the means to enhance the fuzzy neural network system for processing information, the method of information processing systems become more flexible

Moreover, theoretically, it has been proved that the fuzzy logic system can approximate a nonlinear function with any precision, and the BP neural network has the ability to map, which shows that there is a close relationship between the two. Therefore, combining fuzzy logic system with BP artificial neural network to make up for each other, information processing field can be raised to a new height. In such a system, neural networks simulate the topological structure of the brain, that is, "hardware", and fuzzy logic systemsimulates the thinking ability of information fuzzy processing, that is, "software". So the combination of the two resulted in a BP fuzzy neural network.<br>Fuzzy neural network is the unity of neural network and fuzzy logic, it has the nature of simple neural network or fuzzy logic.<br>(1) The calculation method of fuzzy mathematics is adopted, which makes the calculation simple, thus speeding up the processing of information;<br>(2) Fuzzy neural network enhances the means of processing information, making the system's method of processing information more flexible.

Moreover, it has been proved theoretically that fuzzy logic system can approach a nonlinear function with arbitrary precision, and BP neural network has mapping ability, which shows that there is a close relationship between them. Therefore, the combination of fuzzy logic system and BP artificial neural network can improve the field of information processing to a new height. In such a system, neural networks simulate the topological structure of the brain, namely "hardware", and fuzzy logic systems simulate the thinking ability of fuzzy information processing, namely "software". So the combination of the two results in BP fuzzy neural network.<br>Fuzzy neural network is the unity of neural network and fuzzy logic. It has some properties that ordinary neural network or fuzzy logic do not have<br>(1) The calculation method of fuzzy mathematics makes the calculation simple, thus speeding up the speed of information processing;<br>(2) Fuzzy neural network enhances the means of information processing and makes the method of information processing more flexible<br>