| 000 | 01839ntm a2200253 a 4500 | ||
|---|---|---|---|
| 001 | vtls000081910 | ||
| 003 | KUKTEM | ||
| 005 | 20251117113226.0 | ||
| 008 | 141014t2013 my da f m 000 0 eng d | ||
| 020 | _aTHE0007285(Local) | ||
| 039 | 9 |
_a201905141147 _bfawwaz _c201411051216 _dsafura _y201410141027 _zFida |
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| 040 | _aUMP | ||
| 090 | _aTL257 .L87 2013 r Bc. | ||
| 100 | 0 | _aMohamad Luqman Zaki Monsarif | |
| 245 | 1 | 0 |
_aModeling magneto-rheological damper using neural network and simulated annealing / _cMohamad Luqman Zaki Monsarif |
| 260 |
_aKuantan, Pahang : _bUMP, _c2013 |
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| 300 |
_axiii, 53 p. : _bill. (some col.) ; _c30 cm. + _e1 CD-ROM |
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| 502 | _aProject paper (Bachelor of Mechanical Engineering) -- Universiti Malaysia Pahang - 2013 | ||
| 504 | _aBibliography : p. 52-53 | ||
| 520 | 3 | _aThis 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. | |
| 650 | 0 |
_aAutomobiles _xSprings and suspension _xDesign and construction |
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| 650 | 0 | _aDamping (Mechanics) | |
| 999 |
_aVIRTUA40 _c5005 _d5011 |
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| 999 | _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992 | ||