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Research on Database Construction Based on Computer Software is Engineering

  • Qianqian Sun,
  • Kunlun Xue

摘要

Database construction plays an important role in computer softwis engineering, but there is a problem of inaccurate data construction. Traditional genetic algorithms cannot solve the problem of data redundancy in computer softwis engineering, and the effect is not ideal. Therefore, this paper proposes database construction research on computer softwis engineering based on neural network algorithm, and analyzes the database construction research of computer softwis engineering. Firstly, mathematical theory is used to locate the influencing factors, and the indicators is divided according to the requirements of database construction to reduce the interference factors in database construction. Then, the mathematical theory is used to form the database construction scheme of neural network algorithm, and the database construction results is comprehensively analyzed. The MATLAB simulation results show that under certain evaluation criteria, the neural network algorithm is better than the traditional genetic algorithm in terms of database construction accuracy and database construction influencing factor time.