Research on Pipeline Leakage Detection Based on Neural Network

Based on the strong learning ability and arbitrary approximation characteristics of neural network, this paper studies the application of BP neural network in pipeline leakage detection. This paper introduces the structure of BP neural network, determines the experimental scheme and research content, describes the parameters of BP neural network input layer, training target and hidden layer node number in detail, and analyzes the research of leakage location based on BP neural network. The research shows that the neural network method has a wide application prospect for pipeline system fault diagnosis.