Evolutionary Associative Memories Through Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Villegas-Cortez:2011:RMdF,

• title = "Evolutionary Associative Memories Through Genetic Programming",
• author = "J. Villegas-Cortez and J. H. Sossa and C. Aviles-Cruz and G. Olague",
• year = "2011",
• journal = "Revista Mexicana de Fisica",
• volume = "57",
• number = "2",
• pages = "110--116",
• month = apr,
• email = "rmf@smf2.fciencias.unam.mx",
• publisher = "Sociedad Mexicana de Fisica A.C.",
• keywords = "genetic algorithms, genetic programming, computer science and technology, neural engineering, image quality, contrast, resolution, noise, image analysis",
• ISSN = "0035001X",
• URL = "http://www.redalyc.org/src/inicio/ArtPdfRed.jsp?iCve=57019378003",
• broken = "http://www.doaj.org/doaj?func=openurl&genre=article&issn=0035001X&date=2011&volume=57&issue=2&spage=110",
• URL = "http://www.redalyc.org/articulo.oa?id=57019378003",
• URL = "http://www.redalyc.org/pdf/570/57019378003.pdf",
• oai = "oai:doaj-articles:7e43d5cf78112ddf1a27e6ef60afb3ac",
• bibsource = "OAI-PMH server at www.doaj.org",
• size = "7 pages",
• abstract = "Associative Memories (AMs) are useful devices designed to recall output patterns from input patterns. Each input-output pair forms an association. Thus, AMs store associations among pairs of patterns. An important feature is that since its origins AMs have been manually designed. This way, during the last 50 years about 26 different models and variations have been reported. In this paper, we illustrate how new models of AMs can be automatically generated through Genetic Programming (GP) based methodology. In particular, GP provides a way to successfully facilitate the search for an AM in the form of a computer program. The efficiency of the proposal was conducted by means of two tests based on binary and real-valued patterns. The experimental results show that it is possible to automatically generate AMs that achieve good results for the selected pattern recognition problems. This opens a new research area that allows, for the first time, synthesising new AMs to solve specific problems.",
• abstract = "Las memorias asociativas (AMs) son estructuras matematicas especificamente disenadas para recuperar patrones de entrada con patrones de salida. Cada par asociado (entrada-salida) forma una asociacion, es asi que la AM almacena las asociaciones entre los pares. Desde sus origenes las AMs han sido disenadas manualmente, y durante los ultimos 50 anos se han reportado un aproximado de 26 modelos de AMs con sus variantes. En este trabajo mostramos un nuevo modelo de AMs que es generado de forma automatica por medio de Programacion Genetica. Este trabajo abre una nueva area de investigacion que permite por primera vez sintetizar nuevas AMs para resolver problemas especificos. Para probar la eficiencia de nuestra propuesta la hemos aplicado para los casos de patrones en valores binarios y reales. Los experimentos muestran que es posible la generacion automatica de AMs para alcanzar buenos resultados para algunos problemas comunes del area de reconocimiento de patrones.",
• notes = "In english",

}

Genetic Programming entries for Juan Villegas-Cortez Juan Humberto Sossa Azuela Carlos Aviles-Cruz Gustavo Olague

Citations