Autonomous Learning Multi-Model (ALMMo) System
This is the source code of the Autonomous Learning Multi-Model (ALMMo) System for classification and regression
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The package contains:
1. The recently introduced autonomous learning algorithm- Autonomous Learning Multi-Model (ALMMo) System;
2. A demo for classification;
3. A demo for regression.
Reference:
P. P. Angelov, X. Gu, J. C. Principe, "Autonomous learning multi-model systems from data streams," IEEE Transactions on Fuzzy Systems, vol. 26(4), pp. 2213-2224, 2018.
Please cite this paper if the code helps.
The python version of this code is available at: https://www.researchgate.net/publication/327282404_First-Order_Autonomous_Learning_Multi-Model_System_source_code_Python_version
For any queries about the codes, please contact Prof. Plamen P. Angelov (p.angelov@lancaster.ac.uk) and Dr. Xiaowei Gu (x.gu3@lancaster.ac.uk)
Programmed by Xiaowei Gu
Cite As
P. P. Angelov, X. Gu, J. C. Principe, "Autonomous learning multi-model systems from data streams," IEEE Transactions on Fuzzy Systems, vol. 26(4), pp. 2213-2224, 2018.
General Information
- Version 1.2.2.3 (445 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.2.2.3 | Updated Description |
||
| 1.2.2.2 | Updated description |
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| 1.2.2.1 | Update the descripton |
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| 1.2.1.0 | Updated the reference |
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| 1.2.0.0 | fixed a small bug in calculating correlation co-efficient of the system output and the desired output in demo_regression.m |
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| 1.0.0.0 |
