基于BP神经网络的项目投资风险评价

风险项目投资具有高风险、高收益的特点,科学、准确的评价方法对项目投资至关重要.传统的评价方法主观因素太强,而人工神经网络模型克服了传统项目评价依赖专家经验的弊端,为项目投资风险评价开辟了新途径.本文首先阐述了BP神经网络的原理,然后结合实例给出了用于项目投资风险评价的UP神经网络模型,仿真试验表明,采用该模型的结果是令人满意的.

Project Investment Risk Evaluation based on BP Neural Network System

Risk project investment has the characteristics of high-risk and high-return,and effective and right evaluation method is vital.The traditional evaluation method has stortcomings of arbitrary, but a neural network model can get over the failure of dependency much on the experts' experience,so it opens up a new way of project investment risk evaluation. This paper analyzes the principle of BP neural network system firstly, then it discusses UP neural network model that can be applied to project investment risk evaluation combined with example, and a simulation experiment demonstrates the application of UP neural network model can bring out a satisfactory result.