{"title":"Búsqueda de la estructura óptima de redes neurales con Algoritmos Genéticos y Simulated Annealing. Verificación con el benchmark PROBEN1","authors":"Francisco Yepes Barrera","doi":"10.4114/IA.V11I34.908","DOIUrl":null,"url":null,"abstract":"Este articulo describe el uso de algoritmos geneticos (AG) y simulated annealing (SA) en la busqueda de configuraciones optimas de redes neurales artificiales, dentro de una arquitectura software, TSAGANN. El estudio comparativo ha sido realizado con benchmarks consolidados y es ilustrado en detalle. El analisis estadistico de los resultados indica que SA es tan eficiente como AG para este tipo de problemas, permitiendo incluso realizar exploraciones en el espacio del problema con un menor numero de evaluaciones de las usadas por el AG para obtener resultados comparables.","PeriodicalId":43470,"journal":{"name":"Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2007-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Inteligencia Artificial-Iberoamerical Journal of Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4114/IA.V11I34.908","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 4
Abstract
Este articulo describe el uso de algoritmos geneticos (AG) y simulated annealing (SA) en la busqueda de configuraciones optimas de redes neurales artificiales, dentro de una arquitectura software, TSAGANN. El estudio comparativo ha sido realizado con benchmarks consolidados y es ilustrado en detalle. El analisis estadistico de los resultados indica que SA es tan eficiente como AG para este tipo de problemas, permitiendo incluso realizar exploraciones en el espacio del problema con un menor numero de evaluaciones de las usadas por el AG para obtener resultados comparables.
期刊介绍：
Inteligencia Artificial is a quarterly journal promoted and sponsored by the Spanish Association for Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. The journal publishes high-quality original research papers reporting theoretical or applied advances in all branches of Artificial Intelligence. Particularly, the Journal welcomes: New approaches, techniques or methods to solve AI problems, which should include demonstrations of effectiveness oor improvement over existing methods. These demonstrations must be reproducible. Integration of different technologies or approaches to solve wide problems or belonging different areas. AI applications, which should describe in detail the problem or the scenario and the proposed solution, emphasizing its novelty and present a evaluation of the AI techniques that are applied. In addition to rapid publication and dissemination of unsolicited contributions, the journal is also committed to producing monographs, surveys or special issues on topics, methods or techniques of special relevance to the AI community. Inteligencia Artificial welcomes submissions written in English, Spaninsh or Portuguese. But at least, a title, summary and keywords in english should be included in each contribution.
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