4 Papers
Feng Xu is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Support vector machine & Radial basis function network. The author has an hindex of 3, co-authored 4 publications.
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Papers
Identification modeling of underwater vehicles' nonlinear dynamics based on support vector machines
TL;DR: An identification method based on support vector machines (SVM) is proposed for modeling nonlinear dynamics of underwater vehicles (UVs), and a typical torpedo-shaped autonomous underwater vehicle (AUV) is employed for the purpose of validation as mentioned in this paper.
70
Sequential learning radial basis function network for real-time tidal level predictions
TL;DR: Tidal level prediction performance shows that the proposed model can give accurate short-term prediction of tidal levels with very low computational cost.
40
On-line Modeling of AUV's Maneuvering Motion In Diving Plane Based On SVM
Feng Xu,Zao-Jian Zou,Jian-chuan Yin +2 more
- 01 Jan 2012
TL;DR: A simple on-line algorithm named incremental least square support vector machines is put forward by analyzing the kernel function matrix and is employed to identify the maneuvering parameters of autonomous underwater vehicles in diving plane, and the viscous hydrodynamic coefficients are identified.
3
On-line prediction of ship roll motion during maneuvering using sequential learning RBF neuralnetworks
TL;DR: In this article, a variable structure radial basis function neural network (RBFNN) was proposed for on-line prediction of ship roll motion during maneuvering, whose structure and parameters are tuned in real time based on a sliding data window observer.