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机译:从粒子群优化的角度提高模糊聚类对RBF网络性能的影响
University of the Aegean, Laboratory of Intelligent Multimedia, Department of Cultural Technology and Communication, GR-81100 Mytilene, Greece;
University of the Aegean, Laboratory of Intelligent Multimedia, Department of Cultural Technology and Communication, GR-81100 Mytilene, Greece;
University of the Aegean, Department of Geography, GR-81100 Mytilene, Greece;
University of the Aegean, Department of Geography, GR-81100 Mytilene, Greece;
Radial basis function neural networks; Fuzzy clustering; Particle swarm optimization; Armijo's rule; Lipchitz continuity; Distortion function;
机译:层次模糊聚类与粒子群算法相结合,有效地设计了RBF神经网络
机译:基于输入输出模糊聚类和粒子群算法的RBF神经网络训练
机译:基于输入-输出模糊聚类的RBF网络设计中实现粒子群优化的简单有效算法
机译:基于粒子群优化设计的基于模糊聚类的多项式径向基函数神经网络(p-RBF NNs)分类器
机译:一种改进的启发式优化柴油机性能的新型粒子群与遗传算法混合方法。
机译:粒子群优化的参数研究以提高自适应神经模糊推理系统确定圆形开口钢梁屈曲能力的性能
机译:RBF网络和粒子群优化的综合优化