机译:基于新的误差测量和粒子群算法的新型模糊C回归模型算法
Research Unit on Control, Monitoring and Safety of Systems (C3S) High School of Sciences and Engineering of Tunis (ESSTT), 5, av. Taha Hussein, BP 56-1008 Tunis, Tunisia;
Research Unit on Control, Monitoring and Safety of Systems (C3S) High School of Sciences and Engineering of Tunis (ESSTT), 5, av. Taha Hussein, BP 56-1008 Tunis, Tunisia;
Research Unit on Control, Monitoring and Safety of Systems (C3S) High School of Sciences and Engineering of Tunis (ESSTT), 5, av. Taha Hussein, BP 56-1008 Tunis, Tunisia;
takagi-sugeno fuzzy model; noise clustering algorithm; fuzzy c-regression model; orthogonal least squares; particle swarm optimization;
机译:基于新的误差测度和粒子群算法的模糊c回归模型算法
机译:粒子群优化和遗传算法在建模误差多目标损伤识别反问题中的应用
机译:粒子群优化和遗传算法在建模误差多目标损伤识别反问题中的应用
机译:基于模糊c-回归模型聚类和粒子群算法的Takagi-Sugeno模糊模型参数辨识
机译:群算法的探索:混合粒子群优化和自适应文化模型算法。
机译:通货膨胀率建模:自适应神经模糊推理系统方法和粒子群优化算法(ANFIS-PSO)
机译:一种新的误差测量和粒子群算法的新型模糊C回归模型算法