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self constructive Extreme learning machine (no intervention)

version 1.1.0 (420 KB) by berghout tarek
Incrimental Extreme Learning machine is developped In order to obtain suitable network architecture by adding hidden noeds each time

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Updated 11 Feb 2019

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Extreme learning machine (ELM) is a learning algorithm for generalized single-hidden-layer feed-forward networks (SLFNs).
In order to obtain suitable network architecture without user ivtervention ,self constructive Incremental Extreme Learning Machine (SC-I-ELM) is a sort of ELM
constructing SLFNs by adding a set of hidden nodes each time. it is proposed to improve the convergence rate
or to obtain minimal training error with the appropriate minimal number of hidden nodes.
here we represent a demo version of self constructive Extreme learning machine, and if you need the entire code do not hesitate to contact me.
My email: berghouttarek@gmail.com

Cite As

berghout tarek (2019). self constructive Extreme learning machine (no intervention) (https://www.mathworks.com/matlabcentral/fileexchange/69611-self-constructive-extreme-learning-machine-no-intervention), MATLAB Central File Exchange. Retrieved .

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Updates

1.1.0

- self training and constructing of architecture
- training and testing for regression
-training accuracy and testing accuracy
-plloting of error function
- descriptif image is added

MATLAB Release Compatibility
Created with R2014b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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