BP模糊神经网络为分层型结构，如图2.2所示。网络不仅有输入层节点、输

The BP fuzzy neural network is a layered structure, as shown in Figure 2.2. The network has not only input layer nodes, output layer nodes, but also hidden layer nodes (which can be one or more layers). As shown in Figure 2.2, the network is divided into 4 layers. It is designed according to the working process of fuzzy set theory, which can be said to be a fuzzy inference system implemented by a fuzzy neural network

The BP fuzzy neural network is a hierarchical structure, as shown in Figure 2.2. The network has not only input layer nodes, output layer nodes, but also crypto nodes (which can be one or more layers). The figure 2.2 network is divided into 4 layers. It is designed according to the working process of fuzzy set theory, and can be said to be a fuzzy reasoning system implemented by fuzzy neural network.

BP fuzzy neural network is a hierarchical structure, as shown in Figure 2.2. The network has not only input layer nodes, output layer nodes, but also hidden layer nodes (which can be one or more layers). As shown in Figure 2.2, the network is divided into four layers. It is designed according to the working process of fuzzy set theory. It can be said that it is a fuzzy inference system realized by fuzzy neural network