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作 者:刘天寿 俞凯 恽钰 丁超君 匡海波 LIU Tianshou;YU Kai;YUN Yu;DING Chaojun;KUANG Haibo(College of Naval Architecture and Maritime,Zhejiang Ocean University,Zhoushan 316022,Zhejiang,China;Collaborative Innovation Center for Transport Studies,Dalian Maritime University,Dalian 116026,Liaoning,China)
机构地区:[1]浙江海洋大学船舶与海运学院,浙江舟山316022 [2]大连海事大学综合交通运输协同创新中心,辽宁大连116026
出 处:《上海海事大学学报》2024年第3期75-80,共6页Journal of Shanghai Maritime University
基 金:国家自然科学基金(71831002)。
摘 要:为识别与区分自贸区港口产业生态圈影响因素之间的关系,利用遗传算法(genetic algorithm,GA)对基于反向传播(back propagation,BP)神经网络的决策试验和评价实验室(decision-making trial and evaluation laboratory,DEMATEL)模型(记为BP-DEMATEL模型)进行优化。将GA输出的初始权重和阈值输入BP神经网络计算得出影响因素的权值,再求出直接影响矩阵。结合自贸区港口的实证数据,将GA优化的BP-DEMATEL模型与传统DEMATEL和BP-DEMATEL模型进行对比。结果表明:在自贸区港口产业生态圈关键影响因素识别的精度、运行时间等方面,GA优化的BP-DEMATEL模型优于BP-DEMATEL模型,可拓展DEMATEL的使用范围。该模型可确定对自贸区港口产业生态圈影响较大的因素,为相关决策提供参考。In order to identify and distinguish the relationship among the influencing factors in the port industry ecosystem of the free trade zone,the genetic algorithm(GA)is used to optimize the decision-making trial and evaluation laboratory(DEMATEL)model based on the back propagation(BP)neural network(called BP-DEMATEL model).The initial weight and threshold output by GA are input into BP neural network to calculate the weights of influencing factors,and the direct influence matrix is solved.Combining the empirical data of the free trade zone port,the model of BP-DEMATEL optimized by GA are compared with the models of traditional DEMATEL and BP-DEMATEL.The results show that,in terms of the accuracy and running time of the identification of key influencing factors of the port industry ecosystem in the free trade zone,the model of BP-DEMATEL optimized by GA is better than the model of BP-DEMATEL and it can expand the scope of use of DEMTEL.This model can determine the factors that have larger impacts on the port industry ecosystem of the free trade zone and provide reference for relevant decisions.
关 键 词:自贸区港口 港口产业生态圈 遗传算法(GA) 反向传播(BP)神经网络 DEMATEL法
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