{"title":"机器学习在商务区运营中的应用","authors":"Jiaju Yu","doi":"10.1109/TOCS50858.2020.9339694","DOIUrl":null,"url":null,"abstract":"Since the concept of “artificial intelligence” was first proposed in Dartmouth Conference in 1956, the discipline of artificial intelligence has entered an era of steady progress. Recently, the emergence of new technology such as big data, cloud computing and Internet of Things has promoted the rapid development of artificial intelligence technology represented by deep neural network.","PeriodicalId":373862,"journal":{"name":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of machine learning in business district operation\",\"authors\":\"Jiaju Yu\",\"doi\":\"10.1109/TOCS50858.2020.9339694\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Since the concept of “artificial intelligence” was first proposed in Dartmouth Conference in 1956, the discipline of artificial intelligence has entered an era of steady progress. Recently, the emergence of new technology such as big data, cloud computing and Internet of Things has promoted the rapid development of artificial intelligence technology represented by deep neural network.\",\"PeriodicalId\":373862,\"journal\":{\"name\":\"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TOCS50858.2020.9339694\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TOCS50858.2020.9339694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of machine learning in business district operation
Since the concept of “artificial intelligence” was first proposed in Dartmouth Conference in 1956, the discipline of artificial intelligence has entered an era of steady progress. Recently, the emergence of new technology such as big data, cloud computing and Internet of Things has promoted the rapid development of artificial intelligence technology represented by deep neural network.