Runway Incursion Event Forecast Model Based on LS-SVR with Multi-kernel
Semantic Scholar · Article (Journal of Computers) · c7a9689eaa371baa3d72d1542777abba64a77c10 · Published 2011-01-07 · Journal of Computers · 2 authors
Abstract and citation only, verbatim from Semantic Scholar; full text lives there. All credit to the authors and Journal of Computers.
Abstract
The two experimental results indicate that LS-SVR with multi-kernel model is better than LS- SVR with individual kernel model and generalized regression neural network (GRNN) model and Consequently, multi- kernel LS-sVR model is a proper alternative for forecasting of the runway incursion event.
Authors
- Guimei Xu
- Shengguo Huang
Keywords
- Computer Science
- Engineering
Citation
Guimei Xu, Shengguo Huang (2011). Runway Incursion Event Forecast Model Based on LS-SVR with Multi-kernel. Journal of Computers. Semantic Scholar ID c7a9689eaa371baa3d72d1542777abba64a77c10. https://doi.org/10.4304/jcp.6.7.1346-1352 ↗