{"title":"基于SARIMA-BP模型的供需匹配模型研究","authors":"Yuanlue Fu","doi":"10.1145/3584748.3584787","DOIUrl":null,"url":null,"abstract":"The research on the matching of supply and demand is currently only at the stage of combination and selection. In order to solve the matching problem of both parties, this paper proposes a matching problem of supply and demand and an algorithm model, that is, the SARIMA-BP model. Each value of each dimension in the model is can be transformed into a complex matching problem. In addition, this paper uses the established SARIMA-BP model to predict and analyze future data, which provides thinking for future research.","PeriodicalId":241758,"journal":{"name":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Supply and demand matching model based on SARIMA-BP model\",\"authors\":\"Yuanlue Fu\",\"doi\":\"10.1145/3584748.3584787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The research on the matching of supply and demand is currently only at the stage of combination and selection. In order to solve the matching problem of both parties, this paper proposes a matching problem of supply and demand and an algorithm model, that is, the SARIMA-BP model. Each value of each dimension in the model is can be transformed into a complex matching problem. In addition, this paper uses the established SARIMA-BP model to predict and analyze future data, which provides thinking for future research.\",\"PeriodicalId\":241758,\"journal\":{\"name\":\"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3584748.3584787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2022 5th International Conference on E-Business, Information Management and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3584748.3584787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Supply and demand matching model based on SARIMA-BP model
The research on the matching of supply and demand is currently only at the stage of combination and selection. In order to solve the matching problem of both parties, this paper proposes a matching problem of supply and demand and an algorithm model, that is, the SARIMA-BP model. Each value of each dimension in the model is can be transformed into a complex matching problem. In addition, this paper uses the established SARIMA-BP model to predict and analyze future data, which provides thinking for future research.