Project engineering management evaluation based on GABP neural network and artificial intelligence

Abstract

Abstract As an important research method in the field of modern machine learning engineering technology, BP neural network has gradually developed into the most widely used and now the most widely used in the industry with its powerful non-linear feature function mapping computing capabilities, good data induction and feature recognition computing capabilities. This paper closely links the actual activities of project engineering technology management with modern machine learning network technology, and proposes a new type of engineering management activity model based on machine-integrated GABP neural network. This article briefly introduces the valuation theory based on basic knowledge points such as artificial intelligence technology, neural network theory, and genetic algorithm. It does a detailed analysis and research on the valuation models of commonly used neural networks in China, and points out the defects and defects of the neural network structure itself. Good generalization ability, in order to minimize the impact of subjective factors on the valuation results. Although there are many management software specializing in construction project engineering currently on the market, the service scope and demand range of these management software specializing in construction project engineering are relatively narrow. For example, construction project management software can only be used Manage a construction project. In the actual operation process, it is also found that unreasonable time arrangements often occur in various links such as personnel scheduling and material distribution of engineering projects, resulting in a waste of manpower and resources. In response to the urgent requirements of government departments for efficient management of a large number of engineering project resources, the paper develops a universal project engineering management system based on GABP neural network and artificial intelligence technology.