Journal: Computational Intelligence and Neuroscience

Article Title: A Novel Forecasting Approach by the GA-SVR-GRNN Hybrid Deep Learning Algorithm for Oil Future Prices

doi: 10.1155/2022/4952215

Figure Lengend Snippet: (a) PSO-SVR prediction results of the training dataset. (b) PSO-SVR prediction results of the test dataset.

Article Snippet: In the environment of Matlab R2018a, we use particle swarm optimization (PSO) for optimizing C , ε , and γ in the SVR model.

Techniques:

Journal: Computational Intelligence and Neuroscience

Article Title: A Novel Forecasting Approach by the GA-SVR-GRNN Hybrid Deep Learning Algorithm for Oil Future Prices

doi: 10.1155/2022/4952215

Figure Lengend Snippet: (a) PSO-SVR prediction results of the training dataset. (b) PSO-SVR prediction results of the test dataset.

Article Snippet: In the environment of Matlab R2018a, we use particle swarm optimization (PSO) for optimizing C , ε , and γ in the SVR model.

Techniques:

Journal: ACS Omega

Article Title: Artificial Intelligence Techniques and Response Surface Methodology for the Optimization of Methyl Ester Sulfonate Synthesis from Used Cooking Oil by Sulfonation

doi: 10.1021/acsomega.2c08117

Figure Lengend Snippet: Convergence and optimization result plots for the PSO. (a) RSM model, (b) ANN model, and (c) ANFIS model.

Article Snippet: PSO codes were developed using MATLAB R2018a, while optimization by RSM was executed using version 7.0.0 of the Design Expert software.

Techniques:

Journal: ACS Omega

Article Title: Artificial Intelligence Techniques and Response Surface Methodology for the Optimization of Methyl Ester Sulfonate Synthesis from Used Cooking Oil by Sulfonation

doi: 10.1021/acsomega.2c08117

Figure Lengend Snippet: Optimization Techniques and Model Validation

Article Snippet: PSO codes were developed using MATLAB R2018a, while optimization by RSM was executed using version 7.0.0 of the Design Expert software.

Techniques:

Journal: Journal of Healthcare Engineering

Article Title: A Survey of Soft Computing Approaches in Biomedical Imaging

doi: 10.1155/2021/1563844

Figure Lengend Snippet: Overview of papers for biomedical image applications using neural network methods.

Article Snippet: 6 , Kartheeswarn [ ] , PSO (particle swarm optimization), ANN , CT , Image reconstruction , MATLAB R2010a Parallel computing toolbox (PCI) , MSE, PSNR.

Techniques: Imaging, Software