01839ntm a2200253 a 4500 vtls000081910 KUKTEM 20251117113226.0 141014t2013 my da f m 000 0 eng d THE0007285(Local) 201905141147 fawwaz 201411051216 safura 201410141027 Fida UMP TL257 .L87 2013 r Bc. Mohamad Luqman Zaki Monsarif Modeling magneto-rheological damper using neural network and simulated annealing / Mohamad Luqman Zaki Monsarif Kuantan, Pahang : UMP, 2013 xiii, 53 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2013 Bibliography : p. 52-53 This thesis is study about modeling the Magneto-rheological damper using Neural Network and Simulated Annealing method. Five different values of current were used in order to modeling the MR damper, which are 0.0 ampere, 0.5 ampere, 1.0 ampere, 1.5 ampere and 2.0 ampere. In order to modeling the MR damper, the graph of simulation damper will be compared with the experimental damper. The results will get the Square Error for the simulation damper. Then, the Root Mean Square Error will be calculated to get the difference between the simulation damper and experimental damper. The results show that the lowest RMSE for the simulation damper were value 1.282457, while the highest RMSE is 13.18909. From the results also, the better current value to modeling the MR damper is using the MR damper with the lowest RMSE. Automobiles Springs and suspension Design and construction Damping (Mechanics) 0 0 0 1 20000 20000 2019-09-04 0 TL257 .L87 2013 r Bc. 0000086507 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 8193 | TL257 .L87 2013 r Bc. 0000086508 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 5005 5011 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992