Grey Wolf Optimizer for Training Multi-Layer Perceptrons
Grey Wolf Optimizer (GWO) is employed as a trainer for Multi-Layer Perceptron (MLP). The current source codes are the demonstration of the GWO trainer for solving the "Iris" classification problem.
This is the demonstration source codes of the paper:
S. Mirjalili, How effective is the GreyWolf optimizer in training multi-layer perceptrons, Applied Intelligence, In press, 2015, DOI: http://dx.doi.org/10.1007/s10489-014-0645-7
More information can be found in my personal web page: http://www.alimirjalili.com
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Cita come
Seyedali Mirjalili (2025). Grey Wolf Optimizer for Training Multi-Layer Perceptrons (https://it.mathworks.com/matlabcentral/fileexchange/49772-grey-wolf-optimizer-for-training-multi-layer-perceptrons), MATLAB Central File Exchange. Recuperato .
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- AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering >
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NNGWO/
| Versione | Pubblicato | Note della release | |
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| 1.2 | Typo in the description
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| 1.1.0.0 | The paper has been added to the description |
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| 1.0.0.0 |
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