人工神经网络在建设工程评标中的应用

Application of ANN Method on Bid Evaluation in Construction Project

建设工程评标是一个多目标决策过程,评标过程中存在着大量的定性和模糊的因素,评标人很难快速作出准确客观的评判。用人工神经网络(Artificial Neural Network)作为新型信息处理工具,在建设工程评标中可应用于优选中标企业。介绍了Hopfield网络模型构造及算法设计,包括进行方案优劣排序、换位矩阵以及能量函数构造、神经元之间连接和输出。并用实例说明了该方法的优越性和实用性。

For the bid course has many certain and fuzzy factors, so the bidders are difficult making objective judgments quickly. Use the ANN （Artificial Neural Network） as the new information-process tool to optimize the bid enterprises in the construction engineering. This article introduces the structure and arithmetic of Hopfield network model, including the order of good or bad plans, commutant and energy function, the link and output between neurons. And give an example to prove the superiority and practicability of this method.