Performance Evaluation of High-Tech Enterprises' Science and Technological Input Based on BP Neural Network

摘要

Performance evaluation of science and technological input is the basis and premise of establishing competition, incentive and supervision mechanism in science and technology project management. It also is a reliable basis for scientific decision-making and ensuring the accomplishment of scientific and technological tasks. To a certain extent, high-tech enterprises also show that the government attaches importance to scientific and technological innovation and is committed to promoting scientific research performance with high-tech. Standing at the macro level, this paper discusses the system construction of performance evaluation of high-tech enterprises' science and technology investment. In this paper, BP neural network is used to study and establish a performance prediction model of science and technological input, verify the feasibility of the model and find out a scientific and reasonable evaluation model method. This paper provides a scientific and feasible guidance scheme and information basis for the regional government's decision-making on science and technological investment in high-tech enterprises.