On this basis, accomplishes the stage forecast for construction project quality evaluation based on the great nonlinear function approaching capability of the ANN.
在此基础上，利用人工神经网络强大的非线性函数逼近能力，实现对建筑工程质量水平的评价。
Combined with examples, the calculation of water conservancy project public benefit value, the project quality evaluation more practical.
结合实例，计算水利工程的公共效益的数值，使得此项目质量评价更具可操作性。
This method is applicable to quality evaluation of actual measurement project. The other method has been presented too.
本文还提出了利用模糊数学对桥梁工程质量进行模糊综合评定的方法。
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