{"title":"神经网络","authors":"H. Siegelmann, B. Dasgupta, Derong Liu","doi":"10.1201/9781420010749.ch22","DOIUrl":null,"url":null,"abstract":"Artificial neural networks have been proposed as a tool for machine learning (e.g., see [23, 41, 47, 52]) and many results have been obtained regarding their application to practical problems in robotics control, vision, pattern recognition, grammatical inferences and other areas (e.g., see [8, 19, 29, 61]). In these roles, a neural network is trained to recognize complex associations between inputs and outputs that were presented during a supervised training cycle. These associations are incorporated into the weights of the network, which encode ∗Supported in part by NSF grants CCR-0206795, CCR-0208749 and IIS-0346973.","PeriodicalId":262519,"journal":{"name":"Handbook of Approximation Algorithms and Metaheuristics","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Neural Networks\",\"authors\":\"H. Siegelmann, B. Dasgupta, Derong Liu\",\"doi\":\"10.1201/9781420010749.ch22\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial neural networks have been proposed as a tool for machine learning (e.g., see [23, 41, 47, 52]) and many results have been obtained regarding their application to practical problems in robotics control, vision, pattern recognition, grammatical inferences and other areas (e.g., see [8, 19, 29, 61]). In these roles, a neural network is trained to recognize complex associations between inputs and outputs that were presented during a supervised training cycle. These associations are incorporated into the weights of the network, which encode ∗Supported in part by NSF grants CCR-0206795, CCR-0208749 and IIS-0346973.\",\"PeriodicalId\":262519,\"journal\":{\"name\":\"Handbook of Approximation Algorithms and Metaheuristics\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Handbook of Approximation Algorithms and Metaheuristics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1201/9781420010749.ch22\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Handbook of Approximation Algorithms and Metaheuristics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/9781420010749.ch22","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial neural networks have been proposed as a tool for machine learning (e.g., see [23, 41, 47, 52]) and many results have been obtained regarding their application to practical problems in robotics control, vision, pattern recognition, grammatical inferences and other areas (e.g., see [8, 19, 29, 61]). In these roles, a neural network is trained to recognize complex associations between inputs and outputs that were presented during a supervised training cycle. These associations are incorporated into the weights of the network, which encode ∗Supported in part by NSF grants CCR-0206795, CCR-0208749 and IIS-0346973.
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