Grey Wolf Optimizer for Training Multi-Layer Perceptrons (ALL CLASSIFICATION AND FUNCTION DATASETS)
Grey Wolf Optimizer for Training Multi-Layer Perceptrons (all datasets: XOR, Baloon, Iris, Cancer, Heat, Sigmoid, Sine, Cosine, and Sphere): Updated
This is the new version of the following submission:
http://au.mathworks.com/matlabcentral/fileexchange/49772-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
I have a number of relevant courses in this area. You can enrol via the following links with 95% discount:
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A course on “Optimization Problems and Algorithms: how to understand, formulation, and solve optimization problems”:
https://www.udemy.com/optimisation/?couponCode=MATHWORKSREF
A course on “Introduction to Genetic Algorithms: Theory and Applications”
https://www.udemy.com/geneticalgorithm/?couponCode=MATHWORKSREF
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Citation pour cette source
Seyedali Mirjalili (2025). Grey Wolf Optimizer for Training Multi-Layer Perceptrons (ALL CLASSIFICATION AND FUNCTION DATASETS) (https://www.mathworks.com/matlabcentral/fileexchange/52273-grey-wolf-optimizer-for-training-multi-layer-perceptrons-all-classification-and-function-datasets), MATLAB Central File Exchange. Extrait(e) le .
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