multilayers perceptron based Extreme Learning Machine
Version 1.1.0 (1.26 MB) by
BERGHOUT Tarek
Training neural networks with (MLFN) multiple hidden layers with feed-forward type for regression or classification.
In the beginning ELM proposed for training a (SLFN ) single hidden layer feed-forward neural net , than seems to be capable to extend to an MLP (multilayer perceptron) .
In this code we present an algorithm based ELM to train a MLP for both regression and classification.
Cite As
BERGHOUT Tarek (2026). multilayers perceptron based Extreme Learning Machine (https://in.mathworks.com/matlabcentral/fileexchange/69813-multilayers-perceptron-based-extreme-learning-machine), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2018b
Compatible with any release
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- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Pattern Recognition >
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.1.0 | new figures |
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| 1.0.0 |
