基于BP神经网络的水利工程混凝土强度预测与质量控制OA

According to the nature that the strength of concrete in water conservancy projects will be affected by the combined action of various factors,the application of BP neural network in the estimation of concrete strength and quality control is explored.Based on the case of a large-scale water conservancy project,a BP neural network prediction model is constructed by collecting and pre-processing multi-source data,and the model structural design,training optimization,and verification and evaluation process are elaborated.The research results show that the model can accurately predict the strength of concrete,and reveals the nonlinear effects of raw materials,mix ratio,construction technology and curing conditions on the strength,providing improvement measures for the quality control of concrete in water conservancy projects.