A New SVM-Based Modeling Method of Cabin Path Loss Prediction
A new modeling method of cabin path loss prediction based on support vector machine (SVM) is proposed in this paper. The method is trained with the path loss values of measured points inside the cabin and can be used to predict the path loss values of the unmeasured points. The experimental results...
Saved in:
Main Authors: | Xiaonan Zhao, Chunping Hou, Qing Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2013-01-01
|
Series: | International Journal of Antennas and Propagation |
Online Access: | http://dx.doi.org/10.1155/2013/279070 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A New Method for Optimizing the Cabin Layout of Manned Submersibles
by: Wenzhong Wang, et al.
Published: (2020-01-01) -
Vibration Reduction Method for Power Cabin of Torpedoes Based on Acoustic Metamaterials
by: Xuyang SUN, et al.
Published: (2024-12-01) -
Daily Precipitation Prediction Based on SVM-CEEMDAN-BiLSTM Model
by: LING Ming, et al.
Published: (2023-01-01) -
ANALYSIS AND OPTIMIZATION OF CABIN CAGE
by: ZHANG ShiLong, et al.
Published: (2016-01-01) -
Dissolved Oxygen Prediction Based on SOA-SVM and SOA-BP Models
by: ZHANG Xuekun
Published: (2021-01-01)