遗传算法优化BP神经网络的保障房工程项目管理绩效评价

Utility assessment for security housing Engineering Project of optimized BP neural network based on genetic algorithm

为了提高BP神经网络算法对项目管理绩效评价的准确性,提出一种基于遗传算法优化BP神经网络的项目管理绩效评价方法。该方法将遗传算法引入到BP神经网络中,搜索最佳的初始网络权植和阈值,在此基础上通过训练得出最优解,并利用该方法对保障房工程项目管理绩效评价进行可行性验证。结果表明,利用该方法对保障房工程项目管理绩效评价具有强大的非线性拟合能力和更高的准确性。

To improve the accuracy of BP neural network model＇ s evaluation for project management, an evaluation method for project management based on optimized BP neural network and genetic algorithm is presented. The genetic algorithm is trained to search for the optimal solution by weights and thresholds, and get the optimal solution. The Feasibility of the low - income housing project management utility assessment is tested by the simulation of several typical nonlinear systems. The evaluation shows that the proposed method has a strong ability of nonlinear fitting and higher accuracy for utility assessment.