{"title":"神经网络更新","authors":"E. S. Kirkpatrick","doi":"10.1109/ICCD.1991.139829","DOIUrl":null,"url":null,"abstract":"Summary form only given, as follows. Neural networks have been intensively studied as a discipline in their own right in the last five years (late 1980s, early 1990s). Initial claims were extremely ambitious; by using the brain's computing principles, networks would eliminate programming, revolutionize computer architecture and sensor interfacing, make analog VLSI a reality, and give guidance to a new understanding of human cognition. Work in two areas is described: statistical methods to deal with classification, prediction, and control in data-rich, intuition-poor problems; and VLSI solutions, both in digital and analog styles, to accommodate these architectures.<<ETX>>","PeriodicalId":239827,"journal":{"name":"[1991 Proceedings] IEEE International Conference on Computer Design: VLSI in Computers and Processors","volume":"80 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Neural networks update\",\"authors\":\"E. S. Kirkpatrick\",\"doi\":\"10.1109/ICCD.1991.139829\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Summary form only given, as follows. Neural networks have been intensively studied as a discipline in their own right in the last five years (late 1980s, early 1990s). Initial claims were extremely ambitious; by using the brain's computing principles, networks would eliminate programming, revolutionize computer architecture and sensor interfacing, make analog VLSI a reality, and give guidance to a new understanding of human cognition. Work in two areas is described: statistical methods to deal with classification, prediction, and control in data-rich, intuition-poor problems; and VLSI solutions, both in digital and analog styles, to accommodate these architectures.<<ETX>>\",\"PeriodicalId\":239827,\"journal\":{\"name\":\"[1991 Proceedings] IEEE International Conference on Computer Design: VLSI in Computers and Processors\",\"volume\":\"80 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1991 Proceedings] IEEE International Conference on Computer Design: VLSI in Computers and Processors\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCD.1991.139829\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1991 Proceedings] IEEE International Conference on Computer Design: VLSI in Computers and Processors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCD.1991.139829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Summary form only given, as follows. Neural networks have been intensively studied as a discipline in their own right in the last five years (late 1980s, early 1990s). Initial claims were extremely ambitious; by using the brain's computing principles, networks would eliminate programming, revolutionize computer architecture and sensor interfacing, make analog VLSI a reality, and give guidance to a new understanding of human cognition. Work in two areas is described: statistical methods to deal with classification, prediction, and control in data-rich, intuition-poor problems; and VLSI solutions, both in digital and analog styles, to accommodate these architectures.<>