AGC system identification method based on big data and Bayesian neural network

The invention relates to an AGC system identification method based on big data and a Bayesian neural network. The method includes: 1, collecting historical data of an AGC system, and obtaining sampledata after preprocessing; 2, initializing a Bayesian neural network; 3, calculating that input and output of each neuron in a hidden layer and an output layer, calculating the difference between the actual output and the output of the Bayesian neural network, and calculating the error according to the MSE standard; 4, judging whether that error meet the requirement or not, if so, carrying out step6, otherwise, correcting the weights and threshold between the output layer and the hidden layer, correcting the weights and thresholds between the input layer and the hidden layer, updating the connection weights, and increasing the learning times by 1; 5, repeating that steps 3 to 4 until the error requirement or the maximum learn times are met; 6, computing the Bayesian neural network and obtaining a mathematical model