کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1705782 | 1012440 | 2009 | 16 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Geomechanical parameters identification by particle swarm optimization and support vector machine Geomechanical parameters identification by particle swarm optimization and support vector machine](/preview/png/1705782.png)
Back analysis is commonly used in identifying geomechanical parameters based on the monitored displacements. Conventional back analysis method is not capable of recognizing non-linear relationship involving displacements and mechanical parameters effectively. The new intelligent displacement back analysis method proposed in this paper is the combination of support vector machine, particle swarm optimization, and numerical analysis techniques. The non-linear relationship is efficiently represented by support vector machine. Numerical analysis is used to create training and testing samples for recognition of SVMs. Then, a global optimum search on the obtained SVMs by particle swarm optimization can lead to the geomechanical parameters identification effectively.
Journal: Applied Mathematical Modelling - Volume 33, Issue 10, October 2009, Pages 3997–4012