Study of electrical safety assessment of industry based on artificial neural network

Method of electrical safety assessment of industry based on artificial neural network was proposed. Fourteen assessment indexes were determined to form a new safety assessment index system. According to the system, node number of input layer, output layer and connotative layer was determined and basic frame of BP neural network was constructed. The study of BP neural network was exercised by the counter propagation algorithm and genetic algorithm, the model was solved. The method was tested. Predicted results were found to be in full compliance with the real condition of the plant.