Abstract
In the modern era of rapid scientific research, researchers pay more and more attention to scientific data. With the rapid development of scientific research, people pay more attention to practice while pursuing innovative scientific research. Judging from the basic data published by scientific research, scientific data has grown exponentially, highlighting uneven distribution and heterogeneity. This paper aims to study the construction and analysis of computer science data model based on fuzzy neural network. On the basis of sorting out the research results of computer science data and fuzzy neural network at home and abroad, analyzing the problems of computer science data and the technical advantages of fuzzy neural network, this paper clarifies the process of building a computer science data model, and constructs a computer based on an associated fuzzy neural network. Scientific data models and propose conditions for model implementation. Experiments show that the data induction speed of the computer science data model constructed in this paper is about 8 times that of the traditional algorithm. Extracting scientific data is also more accurate.
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