Neural Computing and Data Fusion Modeling Analysis of the Index System of China's Industrial Modernization Level

Abstract

In this paper, the basic theory of neural network introduces the basic concept, development process and application of neural network, analyzes the basic working principle of the network and the relationship between neural network and pattern recognition, and qualitatively demonstrates the basic mechanism of neural network fusion recognition. On the basis of discussing the connotation of current Chinese industrial modernization, a set of 23 specific indicators including industrial system construction, production system construction. The level evaluation index system reveals the regional differentiation characteristics of China's industrial modernization development level. The characteristics of multi-source data have the characteristics of high dimensionality and the shortcomings of the network in solving such problems. Several improved methods of network learning algorithms have been studied.