. . . . "B\u0159ezina, Tom\u00E1\u0161" . "3"^^ . . "Dole\u017Eal, Rudolf" . "3"^^ . . "Mechatronics and robotics \u00B499" . "6"^^ . . "fuzzy inference; neural networks; system identification"@en . "Brno, \u010CR" . "Identification of non-linear dynamic systems using neuro-fuzzy networks"@en . "B\u0159ezina, Tom\u00E1\u0161" . . "[A4DC4535E7F5]" . "111" . "Identification of non-linear dynamic systems using neuro-fuzzy networks" . "26210" . "Dole\u017Eal, Rudolf" . . . "RIV/00216305:26210/99:00000156!RIV/2000/MSM/262100" . . . "Krejsa, Ji\u0159\u00ED" . "Identification of non-linear dynamic systems using neuro-fuzzy networks"@en . . "This contribution deals with the design of ANFIS (Adaptive Neuro-Fuzzy Inference System) structure for identification of non-linear dynamic systems. The described approach connects useful properties of fuzzy system (intuitive description of system behaviour) with the learning ability of neural networks. It also substantially eliminates the problem of the optimum neural network topology design. Identification of harmonically excited system with non-linear dumping and stiffness is included as the example." . "Identification of non-linear dynamic systems using neuro-fuzzy networks" . . "RIV/00216305:26210/99:00000156" . "Krejsa, Ji\u0159\u00ED" . "P(GA101/98/0972), P(VS96122), Z(MSM 261100009)" . "This contribution deals with the design of ANFIS (Adaptive Neuro-Fuzzy Inference System) structure for identification of non-linear dynamic systems. The described approach connects useful properties of fuzzy system (intuitive description of system behaviour) with the learning ability of neural networks. It also substantially eliminates the problem of the optimum neural network topology design. Identification of harmonically excited system with non-linear dumping and stiffness is included as the example."@en . "Institute of Mechatronics" . . . "742299" . .