{"title":"一个用户友好的多语言人工神经网络生成框架:实际案例应用","authors":"D. Ordóñez, C. Dafonte, B. Arcay, M. Manteiga","doi":"10.1109/SOFA.2007.4318315","DOIUrl":null,"url":null,"abstract":"This article presents a framework, developed in JAVA, that facilitates the design and implementation of artificial neural networks and provides automatic multilanguage code generation (ANSI C and JAVA). The framework consists of three systems: a library, in which we factorize network-related functionalities, and two tools, an interpreter and a Web application, that provide ANN-related features. The functioning of this tool was tested by applying it to two problems in two different fields.","PeriodicalId":205589,"journal":{"name":"2007 2nd International Workshop on Soft Computing Applications","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A User-Friendly Framework for Multilanguage ANN Generation: Real Case Applications\",\"authors\":\"D. Ordóñez, C. Dafonte, B. Arcay, M. Manteiga\",\"doi\":\"10.1109/SOFA.2007.4318315\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a framework, developed in JAVA, that facilitates the design and implementation of artificial neural networks and provides automatic multilanguage code generation (ANSI C and JAVA). The framework consists of three systems: a library, in which we factorize network-related functionalities, and two tools, an interpreter and a Web application, that provide ANN-related features. The functioning of this tool was tested by applying it to two problems in two different fields.\",\"PeriodicalId\":205589,\"journal\":{\"name\":\"2007 2nd International Workshop on Soft Computing Applications\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 2nd International Workshop on Soft Computing Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOFA.2007.4318315\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 2nd International Workshop on Soft Computing Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOFA.2007.4318315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A User-Friendly Framework for Multilanguage ANN Generation: Real Case Applications
This article presents a framework, developed in JAVA, that facilitates the design and implementation of artificial neural networks and provides automatic multilanguage code generation (ANSI C and JAVA). The framework consists of three systems: a library, in which we factorize network-related functionalities, and two tools, an interpreter and a Web application, that provide ANN-related features. The functioning of this tool was tested by applying it to two problems in two different fields.
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