Relay life prediction method based on improved RAO algorithm and BP neural network

The invention relates to a relay life prediction method based on an improved RAO algorithm and a BP neural network. The method comprises the following steps: step 1, establishing material performance parameters required by a training sample; 2, performing data normalization processing to obtain sample data; step 3, determining a topological structure of the BP neural network; 4, setting an initialization parameter of the improved RAO algorithm, and obtaining an optimal solution through the improved RAO algorithm as a network initial connection weight and a node threshold; 5, selecting training data, inputting the training data into the neural network model, and training a BP network by using an improved BP algorithm; and step 6, reducing the error between the output quantity and the actual quantity by repeatedly adjusting the weight and the threshold value until the precision requirement is met. According to the invention, parameters such as weights and thresholds of the BP neural network are optimized by usi