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: email@example.com
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 .
- self training and constructing of architecture
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