BP模糊神经网络(Fuzzy Neural Network,简称FNN

BP fuzzy neural network (Fuzzy Neural Network, referred to as FNN) is a combination of fuzzy logic and BP neural network. People can think logically based on the surrounding fuzzy information. Fuzzy logic is based on this. Its main purpose is to process fuzzy information through membership functions and serial parallel rules. The BP neural network uses biological neural networks as the simulation object. The network's self-learning, self-organization, and self-adaptation methods process regular information. Fuzzy logic and neural networks are related and complementary in many ways. 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

The BP Fuzzy Neural Network (FNN) is the product of a combination of fuzzy logic and BP neural network. People can think logically based on the fuzzy information around, fuzzy logic is based on this, the main purpose is to process fuzzy information through membership function and string parallel rules, while BP neural network is to bioneural network as a simulation object, through the network of self-learning, self-organization, adaptation and other methods to process the regular information. Fuzzy logic and neural networks are related and complementary in many ways. 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.

BP fuzzy neural network (FNN) is the combination of fuzzy logic and BP neural network. People can think logically according to the fuzzy information around them. Fuzzy logic is based on this. Its main purpose is to process fuzzy information through membership function and series parallel rules. BP neural network takes biological neural network as simulation object, and processes regular information through self-learning, self-organization, self-adaptive and other methods. Fuzzy logic and neural network are interrelated and complementary in many aspects. 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>