Improved Feedforward Neural Networks Using PSOGSA

Versione 1.0.0.0 (351 KB) da Seyedali Mirjalili

This program is an improved Feedforward Neural Network using a hybrid algorithm called PSOGSA.

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Aggiornato 3 lug 2018

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This work utilizes a hybrid of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) called PSOGSA for training Feedforward Neural Networks (FNNs). The algorithm is applied to the well-known Iris dataset.

The main paper: S. Mirjalili, S. Z. Mohd Hashim, and H. Moradian Sardroudi, "Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm," Applied Mathematics and Computation, vol. 218, pp. 11125-11137, 2012.

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Seyedali Mirjalili (2025). Improved Feedforward Neural Networks Using PSOGSA (https://it.mathworks.com/matlabcentral/fileexchange/42445-improved-feedforward-neural-networks-using-psogsa), MATLAB Central File Exchange. Recuperato ottobre 23, 2025.

Compatibilità della release di MATLAB

Creato con R2011b

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Categorie

AI and Statistics > Deep Learning Toolbox > Train Deep Neural Networks > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Define Shallow Neural Network Architectures >

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FNNPSOGSA/

Versione	Pubblicato	Note della release
1.0.0.0	3 lug 2018		Scarica