A Hydropower Project Investment Estimation Model Based on Chaos BP Combined Neural Network

Based on the in-depth study and research of construction project cost estimation methods and economic benefit analysis methods at home and abroad, this paper proposes an investment forecasting model based on the combination of fuzzy mathematics and improved neural network. First, the classical fuzzy mathematics method is used to classify and screen historical data samples to improve the quality of the samples and improve the accuracy and practicability of the investment prediction model. The composition and other important contents of the project are extracted, and their characteristics are extracted and connected with the investment estimation and benefit analysis of the project, and a hydropower project investment estimation model and an investment benefit analysis model based on an improved neural network are constructed, and the prediction accuracy is as high as 97.2%