Matlab code: A machine learning approach to predict the average localization error with applications to wireless sensor networks
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This file contains the code for
Singh, Abhilash, et al. "A machine learning approach to predict the average localization error with applications to wireless sensor networks." IEEE Access 8 (2020): 208253-208263.
If you are using this code or found this useful then please refer/cite the above manuscript.
To understand more about SVM you can refer to my YouTube video:
https://www.youtube.com/watch?v=C4v5EhK3w3I
Cite As
ABHILASH SINGH (2026). ALE: Support Vector Regression using different kernels (https://au.mathworks.com/matlabcentral/fileexchange/127823-ale-support-vector-regression-using-different-kernels), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: A deep learning approach to predict the number of k-barriers
General Information
- Version 1.0.0 (15.7 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
