Post-evaluation on financial support highway traffic project based on BP neural network algorithm

Abstract

Post-evaluation for road traffic project with financial support is a complex process, but the methods for the current research do not consider the non-linear complexity of such post-evaluation. This paper carries out neural network-based analysis of post-evaluation for road traffic project supported by finance. By comparing with the multiple regression method, it is suggested that BP neural network algorithm is an effective post-assessment tools in the post-evaluation of projects supported by finance with complex features, which can significantly improve the investment efficiency of highway traffic projects supported by finance.

Keywords:

• Financial support
• Road traffic project
• BP neural network algorithm
• Post-evaluation