{"title":"用TEST/NIL模拟神经网络学习","authors":"D. House","doi":"10.1145/70256.70258","DOIUrl":null,"url":null,"abstract":"TEST/NIL is a neural network learning simulation tool. TEST (Threshold Element Simulation Tool) is both an input language compiler and a simulation environment builder. NIL is the Network Input Language. TEST/NIL was designed to investigate biologically plausible learning theories at a level lower than that of cognitive psychology and higher than that of chemical pulse transmission. The discrete event simulation technique used by TEST/NIL is designed for possible optimization via parallelism. Appendices summarize the input language and provide a programming example.","PeriodicalId":138785,"journal":{"name":"ACM Sigsim Simulation Digest","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Simulating neural network learning with TEST/NIL\",\"authors\":\"D. House\",\"doi\":\"10.1145/70256.70258\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"TEST/NIL is a neural network learning simulation tool. TEST (Threshold Element Simulation Tool) is both an input language compiler and a simulation environment builder. NIL is the Network Input Language. TEST/NIL was designed to investigate biologically plausible learning theories at a level lower than that of cognitive psychology and higher than that of chemical pulse transmission. The discrete event simulation technique used by TEST/NIL is designed for possible optimization via parallelism. Appendices summarize the input language and provide a programming example.\",\"PeriodicalId\":138785,\"journal\":{\"name\":\"ACM Sigsim Simulation Digest\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM Sigsim Simulation Digest\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/70256.70258\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Sigsim Simulation Digest","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/70256.70258","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
TEST/NIL is a neural network learning simulation tool. TEST (Threshold Element Simulation Tool) is both an input language compiler and a simulation environment builder. NIL is the Network Input Language. TEST/NIL was designed to investigate biologically plausible learning theories at a level lower than that of cognitive psychology and higher than that of chemical pulse transmission. The discrete event simulation technique used by TEST/NIL is designed for possible optimization via parallelism. Appendices summarize the input language and provide a programming example.