【摘要】 采用BP神经网络,对受弯部分预应力混凝土矩形截面梁裂缝宽度进行预测,通过理论分析并带入网络模型进行试验,找出影响裂缝宽度的主要因素,并建立了优化的BP神经网络模型.用该模型对不同的样本集合分别进行学习与仿真,结果与试件实际参数吻合良好,表明应用人工神经网络预测部分预应力矩形截面梁的裂缝宽度不仅可行,而且精度较高.更多还原

【Abstract】 The crack width of partly prestressing concrete square-section beam under the bending moment is predicted by BP neural network. By theoretical analysis and testing BP neural network, the main factor that influences the crack width is found, and the optimized BP neural network is created. Training and simulating with different samples show that the results are in accordance with the actual data well. It can be seen that it is feasible and precise to predict the crack width of partly prestressing forcing concrete square-section beam under the bending moment by BP neural network.更多还原