机译:函数逼近问题的并行多目标模因RBFNN设计和特征选择
Department of Informatics, University of Jaen, Spain;
Department of Computer Technology and Architecture, University of Granada, Spain;
Department of Computer Technology and Architecture, University of Granada, Spain;
Department of Computer Technology and Architecture, University of Granada, Spain;
Department of Computer Technology and Architecture, University of Granada, Spain;
Department of Computer Technology and Architecture, University of Granada, Spain;
parallel genetic algorithms; RBF; neural networks; function approximation; RBFNN; MPI;
机译:将多目标RBFNN优化和特征选择应用于矿物还原问题
机译:多模并行试卷生成的亚模模因近似
机译:研究RBFNN设计的聚类算法中函数逼近的可能性
机译:函数逼近问题的并行多目标Memetic RBFNN设计和特征选择
机译:值函数逼近的特征选择。
机译:基于增量锦标赛局部搜索器的分布算法多目标模因估计
机译:函数逼近问题的并行多目标Memetic RBFNN设计和特征选择
机译:用于检测,分类和模型顺序选择的多维概率密度函数近似