基于BP神经网络的工业园区废弃物物流系统模糊评价研究
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摘要
依据评价指标设计原则,结合系统运作效率与效益、发展生态城市和生态工业园区的要求,从系统投入、系统能力、运作效率、处理效率和环境绩效5个方面提出22个二级指标的园区废弃物物流系统评价指标体系,并利用层次分析法合理确定指标权重,选择12个工业园区为对象进行实例分析,再利用提出的指标体系开展模糊评价,获得模糊评价的输入和评价结果。然后,根据模糊评价过程构建三层结构的BP神经网络,以模糊评价的输入和输出训练BP网络,获得可执行模糊评价的BP网络。实例分析表明:BP网络对各个园区的评价结果与模糊评价结果相同,是评价园区废弃物物流系统绩效便捷、可靠而有效的科学工具。
Based on the index design principles,combined with the system operation efficiency and benefit requirements,as well as the development requirements of ecological city and ecological industrial park,the evaluation index system of park waste logistics system consisted of 22 indexes with two level is put forward from the five aspects including system input,system capacity,operation efficiency,processing efficiency and environmental performance,meanwhile the index weights are determined reasonably by using the method of analytic hierarchy process. The 12 industrial parks are selected as the object of case analysis to be evaluated by the fuzzy evaluation method and the proposed index system,and the inputs and evaluation results of the fuzzy evaluation are obtained. Then according to the fuzzy evaluation process,the three layered BP neural network is constructed,trained by the input and outputs of the fuzzy evaluation,and the BP network is obtained to perform fuzzyevaluation. The example analysis shows that the evaluation result of the BP network is the same as the fuzzy evaluation, which is a convenient, reliable and effective scientific tool to evaluate the performance of waste logistics system.
Based on the index design principles,combined with the system operation efficiency and benefit requirements,as well as the development requirements of ecological city and ecological industrial park,the evaluation index system of park waste logistics system consisted of 22 indexes with two level is put forward from the five aspects including system input,system capacity,operation efficiency,processing efficiency and environmental performance,meanwhile the index weights are determined reasonably by using the method of analytic hierarchy process. The 12 industrial parks are selected as the object of case analysis to be evaluated by the fuzzy evaluation method and the proposed index system,and the inputs and evaluation results of the fuzzy evaluation are obtained. Then according to the fuzzy evaluation process,the three layered BP neural network is constructed,trained by the input and outputs of the fuzzy evaluation,and the BP network is obtained to perform fuzzyevaluation. The example analysis shows that the evaluation result of the BP network is the same as the fuzzy evaluation, which is a convenient, reliable and effective scientific tool to evaluate the performance of waste logistics system.
引文
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[15]刘冠军.工业园区产业集聚评价方法研究——以新疆库车工业园区为例[J].科学学与科学技术管理,2016,37(8):93-101.
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[2]宋彩平,金文雯.基于AHP-模糊综合评价法的林产品物流企业综合效益评价研究——以黑龙江省为例[J].林业经济,2016(5):80-83.
[3]贾亚男,孙鹏.基于BP神经网络的供应商质量评价算法[J].统计与决策,2015(4):172-174.
[4]孟天醒,文倩,范慧平.基于BP神经网络的河南省可持续发展能力评价[J].湖北农业科学,2016,55(5):1333-1342.
[5]尹惠斌,游达明.基于BP神经网络的企业突破性创新绩效评价研究[J].软科学,2014,28(5):125-129,144.
[6]蔡凌曦,范莉莉,鲜阳红.模糊评价方法——BP神经网络在城市节能减排事前评价中的应用[J].新疆社会科学,2014(2):26-32.
[7]朱庆锋,徐中平,王力.基于模糊综合评价法和BP神经网络法的企业控制活动评价及比较分析[J].管理评论,2013,25(8):113-123.
[8]李小刚,马友华,张益,等.基于模糊评价与BP神经网络模型的耕地质量评价对比研究——以淮北平原凤台县为例[J].土壤通报,2015,46(4):816-822.
[9]姜婷.基于神经网络的企业信息能力模糊评价研究——以安徽省制造型企业为例[J].华东经济管理,2015,29(4):177-180.
[10]邹凯,包明林.基于灰色关联理论和BP神经网络的智慧城市发展潜力评价[J].科技进步与对策,2015,32(17):123-128.
[11]陈光,李珊珊,董博.基于PCA-BP神经网络的城市轨道交通线网方案评价研究[J].铁道运输与经济,2016,38(2):81-86.
[12]郭秀锐,杨居荣,毛显强,等.生态城市建设及其指标体系[J].城市发展研究,2001,8(6):54-58
[13]吴颖婕.中国生态城市评价指标体系研究[J].生态经济,2012(12):51-56.
[14]付丽娜,贺灵.基于灰色关联分析的低碳生态城市评价研究[J].湘潭大学学报(哲学社会科学版),2013,37(3):31-35.
[15]刘冠军.工业园区产业集聚评价方法研究——以新疆库车工业园区为例[J].科学学与科学技术管理,2016,37(8):93-101.
[16]梅强,范茜.基于BP神经网络的高新技术企业自主创新能力评价研究[J].科技管理研究,2011(11):1-4.