机译:随机预言机的多目标遗传分类器选择基于模糊规则的分类器集成:附加多样性有何益处?
European Centre for Soft Computing, Edificio de Investigation, Gonzalo Gutierrez Quiros s, 33600 Mieres, Asturias, Spain;
European Centre for Soft Computing, Edificio de Investigation, Gonzalo Gutierrez Quiros s, 33600 Mieres, Asturias, Spain,Department of Computer Science and Artificial Intelligence (DECSAI) and Research Center on Information and communication Technologies (CITIC-UGR), University of Granada, 18071 Granada, Spain;
Galician Research and Development Center in Advanced Telecommunications (GRADIANT), Communications Area, Edif. CITEXVI, Local 14, 36310 Vigo, Spain;
Computer Stience Department, University of Oviedo, Campus de Viesques, 33203 Gijon, Asturias, Spain;
Fuzzy rule-based classifier ensembles; Random oracles; Bagging; Genetic classifier selection; Diversity measures; Evolutionary multiobjective optimization; NSGA-Ⅱ; High complexity datasets;
机译:基于模糊规则的集成分类器设计的进化多目标优化
机译:基于FURIA的模糊多分类器中多目标遗传算法用于分类器选择的研究
机译:集成分类器多样性度量以减少基于特征选择的分类器集成
机译:多样性测度对多分类器编码方案多目标遗传模糊规则选择对集合分类器设计的影响
机译:使用小波分解和基于模糊规则的分类器进行自动图像检查
机译:通过调整和规则选择提高基于区间值的模糊规则分类器的效率
机译:在将随机oracles应用于基于模糊规则的基于级别的基于大复杂性数据集的分类器组合