{"title":"BP神经网络在图书馆流通量预测中的应用","authors":"Runhua Wang, Yi Tang, Lei Li","doi":"10.1109/ICCI-CC.2012.6311183","DOIUrl":null,"url":null,"abstract":"In this paper, a research is made for a prediction model for library circulation established upon application of BP neural network, by which it is possible to predict circulation of books from a library. And the prediction model is subject to verification through simulation upon combination of actual statistical data in terms of library circulation, with a good verification effect. It is of great guiding and referential significance to make a quantitative and qualitative analysis of library circulation and improve library management.","PeriodicalId":427778,"journal":{"name":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Application of BP neural network to prediction of library circulation\",\"authors\":\"Runhua Wang, Yi Tang, Lei Li\",\"doi\":\"10.1109/ICCI-CC.2012.6311183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a research is made for a prediction model for library circulation established upon application of BP neural network, by which it is possible to predict circulation of books from a library. And the prediction model is subject to verification through simulation upon combination of actual statistical data in terms of library circulation, with a good verification effect. It is of great guiding and referential significance to make a quantitative and qualitative analysis of library circulation and improve library management.\",\"PeriodicalId\":427778,\"journal\":{\"name\":\"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCI-CC.2012.6311183\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 11th International Conference on Cognitive Informatics and Cognitive Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCI-CC.2012.6311183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of BP neural network to prediction of library circulation
In this paper, a research is made for a prediction model for library circulation established upon application of BP neural network, by which it is possible to predict circulation of books from a library. And the prediction model is subject to verification through simulation upon combination of actual statistical data in terms of library circulation, with a good verification effect. It is of great guiding and referential significance to make a quantitative and qualitative analysis of library circulation and improve library management.