基于神经网络在钢筋混凝土施工质量评价中的应用研究

The application research on risk evaluation of quality of reinforced concrete construction based on artificial neural network

利用神经网络的非线性函数逼近能力,实现对钢筋混凝土施工质量评价的模拟模型,以模板工程、钢筋工程、混凝土工程施工质量为输入层,钢筋混凝土施工质量程度为输出层,建立人工神经网络模型,并以实际数据对该网络进行训练和测试。最后得出数字化的评估结果,能反映施工质量的优劣,从而展示了人工神经网络在工程施工质量评价中的广阔前景。

Accomplishes the stage forecast for construction project quality evaluation based on the great nonlinear function approaching capability of artificial nerve network, according to concrete preparation, transportation, construct, conserve as importation layer, concrete construction quality risk degree as output layer, establish artificial neural network model, and actual data were used for training and practice of the network. Finally obtains digitized the appraisal result, can be accurate, irect-viewing reflection construction quality the fit and unfit,thus the wide prospect of artificial neural network in risk management of engineering construction were presented.