The Application of BP Neural Network in The Risk Analysis of Project Investment
Xisheng Zhang · Optimization of Capital Construction · 2007
There are many parameters which affect the economic benefit indicators for evaluation and they are all uncertain.Because of the parameters' uncertainty,evaluation indicators values of economic benifit in project investment are also uncertain.Therefor,the conclusion of economic benefit evaluation to investment project will have a risk.In the economic evaluation,we should make a reasonable quantification and estamation of risk analysis in order to know the project's ability to stand the risks.In this paper we collect ten similar investment projects.According to the operation principle of BP neural network,we choose six indicators which affecting and restricting investment factors as input variables of neural network,and propose the project investment risk analysis model based on BP neural network.Nine investment projects work as training samples and two work as test examples.After calculated,it proved that the precision satisfies completely the need of economical efficiency sensibility analysis so that neural network will have a prosperous prospect in this aspect.