Design and Implementation of Dynamic Building and Storage of BP Neural Network Model

BP neural network (back propagation neural network) is a mathematical model for machine learning. It has a strong advantage in terms of prediction of the future events, and taking into account the different applications, its impact factors are different, which makes the model complex and diverse. A general modeling approach is proposed, which creates and stores BP neural network model dynamically, and its principle is described, furthermore, a typical example (prediction of diseases and pests) verifies it.