Investment Risks Assessment on High-tech Projects Based on Analytic Hierarchy Process and BP Neural Network

In view of the existing problems of investment risks assessment on high-tech industry projects such as a lack of systematic, with too much subjectivity and from the point to improve assessment efficiency and effectiveness, the paper combined Analytic Hierarchy Process (AHP) with BP Neural Network to establish a new and suitable risk assessment model of high-tech projects. Firstly, we applied AHP to construct a comprehensive risk assessment index system and screened the assessment indexes according to their weights. On this basis, using MATLAB software with BP Neural Network model, we carried out example simulations and results were analyzed. The results showed that the combination model of Analytic Hierarchy Process with BP Neural Network model (AHP-BPNN) is effective.

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