首页> 外文OA文献 >A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets

【2h】

A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets

机译：基于模糊规则的高度不平衡数据集分类系统的特征选择和粒度学习遗传算法

页面导航

著录项
引文网络
相似文献
相关主题

著录项

作者
Pedro Villar; Francisco Herrera;
展开▼
作者单位

展开▼
年度 2014
总页数
原文格式 PDF
正文语种
中图分类

相似文献

外文文献
中文文献
专利

1. FEATURE SELECTION AND GRANULARITY LEARNING IN GENETIC FUZZY RULE-BASED CLASSIFICATION SYSTEMS FOR HIGHLY IMBALANCED DATA-SETS [J] . PEDRO VILLAR, ALBERTO FERNANDEZ, RAMON A. CARRASCO, International Journal of Uncertainty, Fuzziness, and Knowledge-based Systems . 2012,第3期

机译：高度不平衡数据集的基于遗传模糊规则的分类系统中的特征选择和粒度学习
2. A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets [J] . Victoria Lopez, Alberto Fernandez, Maria Jose del Jesus, Knowledge-Based Systems . 2013,第jana期

机译：基于遗传程序的分层遗传模糊系统，用于处理具有高度不平衡和临界数据集的分类
3. Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets [J] . Alberto Fernandez, Maria Jose del Jesus, Francisco Herrera International Journal of Approximate Reasoning . 2009,第3期

机译：不平衡数据集的基于遗传规则选择的基于层次模糊规则的分类系统
4. A Genetic Learning of the Fuzzy Rule-Based Classification System Granularity for highly Imbalanced Data-Sets [C] . Pedro Villar, Alberto Fernandez, Francisco Herrera IEEE International Conference on Fuzzy Systems . 2009

机译：基于模糊规则的分类系统粒度的遗传学习，高度不平衡数据集
5. Genetic algorithms for feature selection and classification of complex chromatographic and spectroscopic data [D] . Mirjankar, Nikhil Suresh 2012

机译：遗传算法用于复杂色谱和光谱数据的特征选择和分类
6. Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms [O] . Rudolf Jagdhuber, Michel Lang, Arnulf Stenzl, 2020

机译：二元分类中受成本约束的特征选择：贪婪前向选择和遗传算法的改编
7. FEATURE SELECTION AND GRANULARITY LEARNING IN GENETIC FUZZY RULE-BASED CLASSIFICATION SYSTEMS FOR HIGHLY IMBALANCED DATA-SETS [O] . Pedro Villar, Ramón A. Carrasco, Francisco Herrera 2012

机译：基于遗传模糊规则的高度不平衡数据集分类特征选择与粒度学习
8. Selection of Relevant Features for Classification of Movements From Single Movement-Related Potentials Using a Genetic Algorithm. [R] . Yom-Tov, E., Inbar, G. F. 2001

机译：用遗传算法选择单个运动相关电位运动分类的相关特征。

A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets

著录项

引文网络

相似文献

相关主题

期刊订阅