{"title":"基于BP神经网络的采矿工程技术创新能力评价及应用","authors":"Jin Kan","doi":"10.1109/ICITM.2017.7917895","DOIUrl":null,"url":null,"abstract":"The Mining Engineering technology innovation capacity has become an important issue in the world of academic research, it has drawn increasing social organization, attention and supervision of government departments, and the current security-related drugs more responsibility for its own particularity. In this paper, empirical studies BP neural network MATLAB simulation experiments, Mining Engineering technology innovation through its impact on the ability to perform.","PeriodicalId":340270,"journal":{"name":"2017 6th International Conference on Industrial Technology and Management (ICITM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Evaluation of Mining Engineering technology innovation ability and application based on BP neural network\",\"authors\":\"Jin Kan\",\"doi\":\"10.1109/ICITM.2017.7917895\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Mining Engineering technology innovation capacity has become an important issue in the world of academic research, it has drawn increasing social organization, attention and supervision of government departments, and the current security-related drugs more responsibility for its own particularity. In this paper, empirical studies BP neural network MATLAB simulation experiments, Mining Engineering technology innovation through its impact on the ability to perform.\",\"PeriodicalId\":340270,\"journal\":{\"name\":\"2017 6th International Conference on Industrial Technology and Management (ICITM)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th International Conference on Industrial Technology and Management (ICITM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITM.2017.7917895\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th International Conference on Industrial Technology and Management (ICITM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITM.2017.7917895","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of Mining Engineering technology innovation ability and application based on BP neural network
The Mining Engineering technology innovation capacity has become an important issue in the world of academic research, it has drawn increasing social organization, attention and supervision of government departments, and the current security-related drugs more responsibility for its own particularity. In this paper, empirical studies BP neural network MATLAB simulation experiments, Mining Engineering technology innovation through its impact on the ability to perform.