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首页> 外文期刊>The Open Automation and Control Systems Journal >Study on Decision-Making Model of Bid Evaluation for Engineering ProjectsBased on BP Neural Network and Order Relation Analysis
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Study on Decision-Making Model of Bid Evaluation for Engineering ProjectsBased on BP Neural Network and Order Relation Analysis

机译：基于BP神经网络与订单关系分析的工程项目评标决策模型研究。

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摘要

Using the theory and method of artificial neural network, this paper established a decision-making model of bidevaluation for engineering projects based on back propagation neural network (BPNN). BP neural network was trainedand tested by the learning sample that was attained by using order relation analysis method (G1-method). At the sametime, we used the momentum BP algorithm to solve the model. The results show that the model is feasible and reasonable,possessing high abilities of self-organization, self-adaptation and self-learning and strong function of fault-tolerance,avoiding weaknesses of slow convergence speed, easily falling into local minimum and frequent occurrence of oscillationin learning process of traditional algorithms, eliminating bias caused by arbitrary of individual experts, improving efficiencyof bid evaluation, and providing effective reference and basis for bid evaluation activities of general engineeringprojects.
机译：运用人工神经网络的理论和方法，建立了基于BP神经网络的工程项目评标决策模型。通过使用顺序关系分析方法（G1-方法）获得的学习样本对BP神经网络进行训练和测试。同时，我们使用了动量BP算法来求解模型。结果表明，该模型可行，合理，具有较强的自组织，自适应，自学习能力和较强的容错功能，避免了收敛速度慢，容易陷入局部最小值，频繁发生等缺点。传统算法学习过程中的振荡，消除了各个专家的随意性所带来的偏差，提高了评标效率，为一般工程项目的评标活动提供了有效的参考依据。

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