{"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}
引用次数: 1
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.
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