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ID:38287471
大小:304.70 KB
页数:5页
时间:2019-06-03
《BP神经网络法确定工程材料评价指标的权重》由会员上传分享,免费在线阅读,更多相关内容在行业资料-天天文库。
1、BP神经网络法确定工程材料评价指标的权重/张天云等·159·*BP神经网络法确定工程材料评价指标的权重张天云1,3,陈奎2,3,魏伟2,杨扬1(1兰州城市学院信息网络中心,兰州730070;2兰州城市学院培黎工程技术学院,兰州730070;3兰州理工大学甘肃省有色金属新材料省部共建国家重点实验室,兰州730050)摘要针对工程选材综合评价中评价指标的权重难以合理确定这一问题,构建了BP神经网络法赋权模型。在此基础上,以汽车车身用有机涂层材料评价指标权重的确定为例,以经加权平均法合理评价的15种有机涂层材料作为网络训练样本(8个评价指标和加权
2、平均法所得评价结果作为具体的样本数据),根据上述赋权模型,确定汽车车身用涂层材料8个评价指标的权重。以所得权重,根据改进理想解法对5种候选汽车车身用涂层材料进行综合评价。评价结果表明,最佳候选材料为丙烯酸树脂,与实际应用一致。说明评价所采用的权重客观合理,即采用BP神经网络法确定工程材料评价指标的权重合理可行。关键词工程材料综合评价指标权重BP神经网络中图分类号:TB3文献标识码:ATheDeterminationofIndexWeightsforComprehensiveEvaluationofEngineeringMaterialswi
3、thBPNeuralNetwork1,3,CHENKui2,3,WEIWei2,YANGYang1ZHANGTianyun(1CenterofInformationandNetwork,LanzhouCityUniversity,Lanzhou730070;2CollegeofPeiliEngineeringTechnology,LanzhouCityUniversity,Lanzhou730070;3StateKeyLaboratoryofGansuAdvancedNon-ferrousMetalMaterials,LanzhouUniv
4、ersityofTechnology,Lanzhou730050)AbstractReferringtothequestionthatitishardtodeterminetheindexweightofcomprehensiveevaluationforengineeringmaterialsselection,themodelofweightdeterminationforevaluationindexbasedonBPneuralnetworkwasestablished.Takingtheweightdeterminationofe
5、valuationindexofcoatingmaterialsusedonautomobilebodyasanexample,regarding15kindsofcoatingmaterialsevaluatedbyweightedaverageastrainingsample(thedataof8kindsofevaluationindicesandevaluationresultsobtainedfromweightedaveragewereregardedassampledata),weightsof8kindsofevaluati
6、onindiceswerecalculatedaccordingtothemodelofweightdeterminationmentionedabove.5kindsofcandidatecoatingmaterialsusedonautomobilebodywereevaluatedaccordingtoimprovedtechniquefororderpreferencebysimilaritytosolution(ITOPSIS)withtheweightsobtained.Theevaluationresultshowsthata
7、crylicresinisthebestincandidatematerials,whichaccordswithindustrypractice.Allaboveshowsthattheweightsthatusedincomprehensiveevaluationareobjectiveandreasonable,inotherwords,theweightsofevaluationindicesforengineeringmaterialsdeterminedbyBPneuralnetworkarereasonableandfeasi
8、ble.Keywordsengineeringmaterials,comprehensiveevaluation,weightofindex,BPneuralnetwork材料的
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