基于人工神经网络技术的投标前期决策

针对投标前期决策中常用决策分析方法未能有效解决影响因素之间、影响因素与决策结果之间的复杂非线性关系的问题,通过调查、比较和分析,结合人工神经网络分析方法的要求,确定了投标前期决策影响因素的指标体系.将人工神经网络技术应用于投标前期决策,应用定量法和模糊综合评价法提出相应指标的量化标准及方法,据此构建了具有较好泛化学习能力及较好学习速度的人工神经网络投标前期决策模型.在MATLAB平台上,开发出人工神经网络投标前期决策模型应用系统.通过工程实例证明,此方法能有效应用于施工企业的前期投标决策.

Pre-bid Decision-making Process Based on Artificial Neural Networks Technology

There are complicated non-linear relations among influence factors, and between influence factors and decision - making results, which cannot be handled by common analytical method effectively. So the ANN technology was applied in the pre-bid decision-making processes. An indicator system of influence factors for pre-bid decision-making process was built based on extensive investigations, comparisons and analyses, with due considerations to the ANN analysis requirements. And then the criterion and method for quantifying the indicators were put forward by quantificational methods and fuzzy theories. An ANN model for pre-bid decision- making process was constructed and performed in Matlab, which has powerful learning ability and fast learning speed. The model was verified by a few examples from engineering practice.