01578ntm a2200205 a 4500001001400000003000700014005001700021008004100038020002200079040000800101100002200109245010500131260003400236300004600270502009200316504002500408520085000433650006501283650002401348vtls000083707KUKTEM20251117113249.0141119t2013    my a   f m    000 0 eng d  aTHE0007280(Local)  aUMP0 aMohd Fikri Arifin10aModelling magneto-rheological damper using radial basis function neural network /cMohd Fikri Arifin  aKuantan, Pahang :bUMP,c2013  axvii, 48 p. :bill. ;c30 cm. +e1 CD-ROM  aProject paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2013  aBibliography : p. 483 aThis a study on modeling the MR damper using RBF. MR damper can be  simplify as a damper that using MR fluids. MR fluid contains magnetic particles which  will react to current flow when power is supplied. The viscosity of the fluid depends on  the current flow. The stiffness of the damper depends on the fluids. This modeling is to  achieve the similarity of the results of the experiment using proper machine and  apparatus and by using MATLAB software. The data that are obtained from the  experiment are used in the MATLAB software to generate graphs. The RBF equations  are used in the m-file to get the similarity as the graph from experiment. Comparisons  between the graphs are decided by inspection and the most accurate, by using the  RMSE graph. The input in m-file is adjusted again and again to get the smallest RMSE  as possible   0aAutomobilesxSprings and suspensionxDesign and construction 0aDamping (Mechanics)