Improved Feedforward Neural Networks Using PSOGSA
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.
Cite As
Seyedali Mirjalili (2026). Improved Feedforward Neural Networks Using PSOGSA (https://ch.mathworks.com/matlabcentral/fileexchange/42445-improved-feedforward-neural-networks-using-psogsa), MATLAB Central File Exchange. Retrieved .
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- 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/
| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.0.0 |
