This is the 'Hybrid Constriction Ciefficient based particle Swarm Optimization and Gravitational Search Algorithm for Training Multi-Layer Perceptron (MLP)' Mathlab code .
Citation
Rather, S.A. and Bala, P.S. (2020), "A hybrid constriction coefficient-based particle swarm optimization and gravitational search algorithm for training multi-layer perceptron",
International Journal of Intelligent Computing and Cybernetics, Vol. 13 No. 2, pp. 129-165.
https://doi.org/10.1108/IJICC-09-2019-0105
Change 'Get_Functions_details.m' for your other classification and function approximation benchmarks.
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E_Mail: [email protected]
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[![View CPSOGSA for MLP Training on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/77777-cpsogsa-for-mlp-training)
functions:
main.m : Main function for using CPSOGSA and othet Heuristic algorithm.
GSA.m : Gravitational Search Algorithm.
bbo.m :Biogeograpgy Based Optiumization
DE.m: Differential Evolution
CPSOGSA: Constriction Coefficient based particle swarm optimization and Gravitational Search Algorithm
ACO.m: Ant Colony Optimization
RouletteWheelSelection.m : finds optimal candidate solutions.
initialization.m : initializes the position of agents in the search space, randomly.
Gfield.m : calculates the accelaration of each agent in gravitational field.
move.m : updates the velocity and position of agents.
massCalculation.m : calculates the mass of each agent.
Gconstant.m : calculates Gravitational constant.
space_bound.m : checks the search space boundaries for agents.
evaluateF.m : Evaluates the agents.
My_sigmoid: It acts as fitness function for encoding searcher agents.
my_simulate: This function provides the simulation of candidate solutions.
Get_Functions_details.m : gives boundaries and dimension of search space for Classification and Function approximation benchmarks.
Note: The file also includes four important and handly datasets from UCI Machile learning Repository. They are: a)Iris b)Heart c)Breast_Cancer, and d) Balloon
Authors Social Media Link(s)/Accounts:
1) Google Scholar: https://scholar.google.co.in/citations?user=fBc0vbcAAAAJ&hl=en
2) GitHub: https://github.com/SajadAHMAD1
3) LinkedIn: https://www.linkedin.com/in/sajad-ahmad-rather-97a398110/
4) Researchgate: https://www.researchgate.net/profile/Sajad_Rather5
5) Facebook: https://www.facebook.com/sajad.a.rather.54
6) Instagram: https://www.instagram.com/sajad_ahmad_rather123/
7) Twitter: https://twitter.com/sajad_win8
8) Youtube: https://www.youtube.com/channel/UCAS0S-gPiR-Z3dUToVh6KfQ
9) Academia.edu: https://pondiuni-anthropology.academia.edu/SAJADRATHER
10) Mathworks: https://in.mathworks.com/matlabcentral/profile/authors/6240015-sajad-ahmad-rather
11) ORCiD: https://orcid.org/0000-0002-0351-7705
基于收缩系数的粒子群结合引力搜索算法求解 MLP 训练问题附matlab代码.zip
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