2014 13th Mexican International Conference on Artificial Intelligence最新文献

筛选

英文中文

Evolutionary Approach for Construction of the RBF Network Architecture 构建RBF网络体系结构的演化方法

2014 13th Mexican International Conference on Artificial Intelligence Pub Date : 2014-11-16 DOI: 10.1109/MICAI.2014.25

S. Montero-Hernández, W. Gómez-Flores

{"title":"Evolutionary Approach for Construction of the RBF Network Architecture","authors":"S. Montero-Hernández, W. Gómez-Flores","doi":"10.1109/MICAI.2014.25","DOIUrl":"https://doi.org/10.1109/MICAI.2014.25","url":null,"abstract":"Feature selection (FS) and classifier design (CD) are two basic stages in the construction of a classification system. Typically, both tasks have been studied separately in literature. FS aims to remove irrelevant and redundant features whereas CD generates a prediction rule for classifying patterns whose class is unknown. Despite the relationship between FS and CD with radial basis function networks (RBFNs) is noticeable, only some works have addressed FS and CD jointly when constructing RBFNs. This paper presents a methodology for the automatic construction of the RBFN architecture by using two evolutionary algorithms (based on differential evolution, DE) for addressing FS and CD tasks simultaneously. FSDE algorithm evolves a population in order to find a reduced subset of discriminant features. After, each individual generates a subpopulation which evolves to construct the hidden layer of the net via CDDE algorithm. CDDE determines the suitable number of hidden nodes and their parameter. Two real datasets for breast lesion classification were used and the experimental results pointed out that the proposed methodology obtained high classification performance with reduced subsets of features.","PeriodicalId":189896,"journal":{"name":"2014 13th Mexican International Conference on Artificial Intelligence","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127015190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An Agent-Based Model of an Oil Dispersant's Effect on a Marine Species 一种基于agent的石油分散剂对海洋物种影响模型

2014 13th Mexican International Conference on Artificial Intelligence Pub Date : 2014-11-16 DOI: 10.1109/MICAI.2014.40

D. Flores, Claudia M. Gómez, G. Guerra-Rivas, Paulina Tafoya-Romo

引用次数: 0

A Genetic Algorithm Applied to Content-Based Image Retrieval for Natural Scenes Classification 遗传算法在自然场景分类中基于内容图像检索中的应用

2014 13th Mexican International Conference on Artificial Intelligence Pub Date : 2014-11-16 DOI: 10.1109/MICAI.2014.30

Y. Pérez-Pimentel, I. Osuna-Galán, Juan Villegas-Cortez, C. Avilés-Cruz

引用次数: 5

首页上一页