Abstract
There is a nonlinear relationship between the size and quality of objective risk factors in the construction process, this relationship is quite complex to describe specific model. According to the characteristics, introduces artificial neural network control system that is a quality supervision method for quantitative. The effective supervision on construction quality is realized in the case of the full approximation nonlinear complex system by establishing the index system of construction engineering quality supervision, and it is verified by engineering examples. The research has practical operation and guiding significance to enrich methods of quality supervision in the process of construction work and to improve the quality of building engineering.
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