Autonomous Learning Multi-Model (ALMMo) System

Version 1.2.2.3 (445 ko) par X.Gu&P.Angelov
This is the source code of the Autonomous Learning Multi-Model (ALMMo) System for classification and regression
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Mise à jour 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

Citation pour cette source

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.

Compatibilité avec les versions de MATLAB
Créé avec R2018a
Compatible avec toutes les versions
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Version Publié le Notes de version
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