Grid fault classification method and system based on GA-BP neural network

The invention relates to the technical field of fault classification, in particular to a grid fault classification method based on a GA-BP neural network, and discloses a grid fault classification method and system based on the GA-BP neural network, and the fault classification method comprises the steps: data collection and preprocessing; a GA-BP neural network model is constructed; performing model training on the neural network model; fault classification and model optimization; according to the method, the optimization capability of the genetic algorithm is utilized, so that the accuracy of a fault classification task is effectively improved, and accurate classification of power grid faults is ensured; the hyper-parameter of the neural network can be adjusted by using the genetic algorithm, so that the hyper-parameter can be converged to the optimal solution more quickly, and the training time is saved; the optimal neural network architecture and parameter combination can be adaptively searched by using t