{"title":"高新技术企业成长性强化研究——基于神经网络系统的评价","authors":"K. Chang, G. Liang, Meng Sun","doi":"10.1109/ICMLC.2010.5580978","DOIUrl":null,"url":null,"abstract":"A three-level index evaluation system of high-tech enterprises is raised expanding from four main factors-capital, technology, market and management; neural network system is introduced in high-tech enterprises growth-evaluation to strengthen the evaluation; BP network model is established through network training, which is used to carry out growth evaluation. These provide frontier idea for the cross application of mathematics in the field of high-tech enterprise management.","PeriodicalId":126080,"journal":{"name":"2010 International Conference on Machine Learning and Cybernetics","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on strengthen of high-tech enterprises growth-evaluation based on neural network system\",\"authors\":\"K. Chang, G. Liang, Meng Sun\",\"doi\":\"10.1109/ICMLC.2010.5580978\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A three-level index evaluation system of high-tech enterprises is raised expanding from four main factors-capital, technology, market and management; neural network system is introduced in high-tech enterprises growth-evaluation to strengthen the evaluation; BP network model is established through network training, which is used to carry out growth evaluation. These provide frontier idea for the cross application of mathematics in the field of high-tech enterprise management.\",\"PeriodicalId\":126080,\"journal\":{\"name\":\"2010 International Conference on Machine Learning and Cybernetics\",\"volume\":\"104 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Machine Learning and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMLC.2010.5580978\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Machine Learning and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2010.5580978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on strengthen of high-tech enterprises growth-evaluation based on neural network system
A three-level index evaluation system of high-tech enterprises is raised expanding from four main factors-capital, technology, market and management; neural network system is introduced in high-tech enterprises growth-evaluation to strengthen the evaluation; BP network model is established through network training, which is used to carry out growth evaluation. These provide frontier idea for the cross application of mathematics in the field of high-tech enterprise management.
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