Artificial neural networks with conformable transfer function for improving the performance in thermal and environmental processes

Author:

Solís-Pérez J.E.ORCID,Hernández J.A.ORCID,Parrales A.,Gómez-Aguilar J.F.,Huicochea A.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference44 articles.

1. On conformable fractional calculus;Abdeljawad;Journal of Computational and Applied Mathematics,2015

2. Fractional order neural networks for system identification;Aguilar;Chaos, Solitons & Fractals,2020

3. The multivariable inverse artificial neural network combined with GA and PSO to improve the performance of solar parabolic trough collector;Ajbar;Applied Thermal Engineering,2021

4. Artificial neural network modeling techniques applied to the hydrodesulfurization process;Arce-Medina;Mathematical and Computer Modelling,2009

5. Chaos in fractional-order discrete neural networks with application to image encryption;Chen;Neural Networks,2020

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