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.
Citation pour cette source
Seyedali Mirjalili (2024). Improved Feedforward Neural Networks Using PSOGSA (https://www.mathworks.com/matlabcentral/fileexchange/42445-improved-feedforward-neural-networks-using-psogsa), MATLAB Central File Exchange. Extrait(e) le .
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- AI and Statistics > Deep Learning Toolbox > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Define Shallow Neural Network Architectures >
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Version | Publié le | Notes de version | |
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1.0.0.0 |