基于神经网络的工程质量管理研究
Research on Engineering Quality Management Based on Neural Network

质量控制是整个工程质量管理过程中的最为重要的一项管理环节，此管理环节将影响整个工程项目实施的结果。质量问题与社会其他公共产品质量相比，既直接影响国民经济建设的健康发展，也直接影响人民群众自身的切身利益。工程项目质量太差所能带来的危害结果也总是要较其他劣质产品更为严重，因此全社会对工程质量也极为关注，本文从工程质量国内外研究情况以及影响工程质量的五大因素入手，建立神经网络模型并对其进行训练与仿真，根据模型的验证结果对工程项目的质量提升提出相关的对策建议。
Quality control is the most important management link in the whole project quality management process, which will directly affect the implementation results of our entire project. Compared with the quality of other public products, the quality problem is not only directly related to the healthy development of the entire national economic construction, but also directly related to the vital interests of the people themselves. The harm caused by poor project quality is always more serious than other low-quality products, so the whole society also pays great attention to the project quality. This paper starts with the domestic and foreign research on project quality and the five major factors that affect the project quality, establishes a neural network model, trains and simulates it, and puts forward relevant countermeasures and suggestions for the improvement of project quality according to the verification results of the model.