ANN to find key therapeutic quantities in MHT

Tuned Artificial Neural Networks to find key therapeutic quantities in magnetic hyperthermia
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Updated 5 Jun 2024

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Artificial Neural Networks to find key therapeutic quantities in magnetic hyperthermia. These ML regressors are trained to predict Temperature and Time responses from 4 decision variables.

Cite As

PEREIRA, J. L. J. (2024). ANN to find key therapeutic quantities in MHT (https://www.mathworks.com/matlabcentral/fileexchange/166791-ann-to-find-key-therapeutic-quantities-in-mht), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2024a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
3.0.0

Hyperparameters found by Bayesian Optimization.

2.0.0

The ANN are tuned with Bayesian Optimization

1.0.0