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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Updated 9 Nov 2018

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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.

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
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Version Published Release Notes
1.2.2.3

Updated Description

1.2.2.2

Updated description

1.2.2.1

Update the descripton

1.2.1.0

Updated the reference

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

1.0.0.0