基于人工神经网络的石油化工工程建设项目管理绩效评价

针对非线性多输入多输出的石油化工工程建设项目管理绩效评价问题，应用人工神经网络构建评价模型。使用50个项目的287个学习案例数据，以10个影响因素为输入，6个指标为输出，对BP神经网络、基于遗传算法的BP神经网络、径向基函数神经网络与广义回归神经网络4类网络模型进行训练和测试。通过均方误差的比较，发现基于遗传算法的BP神经网络优于一般的BP神经网络，广义回归神经网络的测试结果优于BP神经网络，径向基函数神经网络具有最好的误差精度。2个应用示例表明，人工神经网络应用于石油化工工程建设项目管理绩效的评价是可行和有效的。

MANAGEMENT PERFORMANCE EVALUATION IN PETROCHEMICAL ENGINEERING CONSTRUCTION PROJECT BY USING ARTIFICIAL NEURAL NETWORK

An artificial neural network model (ANN) was developed for the management performance evaluation of petrochemical engineering construction project.By using the data from 287 samples of 50 projects,in which 10 factors were as inputs and 6 indicators as outputs,training and test were given to four kinds of ANN models,BP-NN,GA-based BP-NN,radial basis function neural network (RBF-NN) and generalized regression neural network (GR-NN).By comparing the mean square errors,it is found that GA-based BP-NN is prior t...