Research on Investment Risk Evaluation of Water Conservancy Project based on Support Vector Machine

Abstract

The paper analyzes characteristics and investment risk of water conservancy project. Based on support vector machine (SVM), the paper explores water conservancy project investment risk evaluation method, establishes the SVM investment risk evaluation mode. The particle swarm optimization algorithm is employed to analyze data efficiently. Detailed empirical results shows effectiveness of the proposed scheme.