01806ntm a2200253 a 4500 vtls000083707 KUKTEM 20251117113249.0 141119t2013 my a f m 000 0 eng d THE0007280(Local) 201905141144 fawwaz 201411191601 fawwaz UMP TL257 .F55 2013 r Bc. Mohd Fikri Arifin Modelling magneto-rheological damper using radial basis function neural network / Mohd Fikri Arifin Kuantan, Pahang : UMP, 2013 xvii, 48 p. : ill. ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2013 Bibliography : p. 48 This 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 Automobiles Springs and suspension Design and construction Damping (Mechanics) 0 0 0 1 20000 20000 2019-09-04 0 TL257 .F55 2013 r Bc. 0000086174 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 8028 | TL257 .F55 2013 r Bc. 0000086175 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 5724 5730 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992