Risk Evaluation of Power Grid Project Based on Analytic Hierarchy Process and Improved BP Neural Network

Abstract

A kind of risk evaluation method based on Analytic Hierarchy Process (AHP) and improved BP neural network is proposed in this paper. Importance degree of risk evaluation indexes is sorted by using the analytic hierarchy process and the risk evaluation index system is simplified, and then the simplified index acts as the input of improved BP neural network to evaluate the risk. This method simplifies the network model and improves the performance and calculation accuracy of the network. The risk of the power grid project is evaluated based on this method, indicating that this method is feasible and effective for the risk evaluation of the power grid project.