| ชื่อเรื่อง | : | Artificial neural network (ANN) application to predict the wheel-rail impact forces due to the short wavelength defects in rail |
| นักวิจัย | : | Hosseinzadeh, Nasser. , Dhanasekar, Remadevi. , Sun, Yan Quan. |
| คำค้น | : | 671102 Rail equipment. , 290803 Transport Engineering. , TBA. , 861304 Rail Equipment. , 8613 Transport Equipment. , 86 Manufacturing. , 090507 Transport Engineering. , 0905 Civil Engineering. , 09 Engineering. , Neural networks (Computer science) , Railroad tracks. , Railroad cars |
| หน่วยงาน | : | Central Queensland University, Australia |
| ผู้ร่วมงาน | : | - |
| ปีพิมพ์ | : | 2547 |
| อ้างอิง | : | http://hdl.cqu.edu.au/10018/16694 , cqu:3109 |
| ที่มา | : | Hossein-Zadeh, N, Dhanasekar, R & Sun, Y 2004, 'Artificial neural network (ANN) application to predict the wheel-rail impact forces due to the short wavelength defects in rail', paper presented at The 2nd International Conference on Artifical Intelligence in Science and Technology., Hobart. |
| ความเชี่ยวชาญ | : | - |
| ความสัมพันธ์ | : | 2nd International Conference on Artifical Intelligence in Science and Technology. Hobart. : University of Tasmania, 2004. p. 212-217 6 pages Refereed 1862952094 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository. |
| ขอบเขตของเนื้อหา | : | - |
| บทคัดย่อ/คำอธิบาย | : | This paper proposes an application of Artificial Neural Networks (ANN) to predict the wheel-rail impact forces due to the Railway Track Irregularities. The proposed architecture of the ANN is a form of Recurrent Neural Network (RNN), which uses the current sample of the input, a few past samples of the input and also feeds back a couple of previous output samples to the input pattern. This input pattern is then used to predict the new value of the output. The capability of the proposed architecture in predictin the impact forces due to both wheel burns defects and dip weld defects is promising. |
| บรรณานุกรม | : |
Hosseinzadeh, Nasser. , Dhanasekar, Remadevi. , Sun, Yan Quan. . (2547). Artificial neural network (ANN) application to predict the wheel-rail impact forces due to the short wavelength defects in rail.
กรุงเทพมหานคร : Central Queensland University, Australia. Hosseinzadeh, Nasser. , Dhanasekar, Remadevi. , Sun, Yan Quan. . 2547. "Artificial neural network (ANN) application to predict the wheel-rail impact forces due to the short wavelength defects in rail".
กรุงเทพมหานคร : Central Queensland University, Australia. Hosseinzadeh, Nasser. , Dhanasekar, Remadevi. , Sun, Yan Quan. . "Artificial neural network (ANN) application to predict the wheel-rail impact forces due to the short wavelength defects in rail."
กรุงเทพมหานคร : Central Queensland University, Australia, 2547. Print. Hosseinzadeh, Nasser. , Dhanasekar, Remadevi. , Sun, Yan Quan. . Artificial neural network (ANN) application to predict the wheel-rail impact forces due to the short wavelength defects in rail. กรุงเทพมหานคร : Central Queensland University, Australia; 2547.
|
ridm@nrct.go.th ระบบคลังข้อมูลงานวิจัยไทย รายการโปรดที่คุณเลือกไว้
