RA Conde-Gutierrez
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Direct neural network modeling for separation of linear and branched paraffins by adsorption process for gasoline octane number improvement
A Bassam, RA Conde-Gutierrez, J Castillo, G Laredo, JA Hernandez
Fuel 124, 158-167, 2014
242014
Optimization of an absorption heat transformer with two-duplex components using inverse neural network and solved by genetic algorithm
LI Morales, RA Conde-Gutiérrez, JA Hernández, A Huicochea, ...
Applied Thermal Engineering 85, 322-333, 2015
182015
Optimal multivariable conditions in the operation of an absorption heat transformer with energy recycling solved by the genetic algorithm in artificial neural network inverse
RA Conde-Gutiérrez, U Cruz-Jacobo, A Huicochea, SR Casolco, ...
Applied Soft Computing 72, 218-234, 2018
72018
Optimization and estimation of the thermal energy of an absorber with graphite disks by using direct and inverse neural network
A Márquez-Nolasco, RA Conde-Gutiérrez, JA Hernández, A Huicochea, ...
Journal of Energy Resources Technology 140 (2), 2018
72018
Modeling and prediction of COVID-19 in Mexico applying mathematical and computational models
O Torrealba-Rodriguez, RA Conde-Gutiérrez, AL Hernández-Javier
Chaos, Solitons & Fractals, 109946, 2020
32020
Optimal operating condition for a type parabolic trough collector with low-cost components using inverse neural network and solved by genetic algorithm
ED Reyes-Télleza, RA Conde-Gutiérreza, JA Hernándezb, E Cardosoa, ...
Presented at the EDS conference on Desalination for the Environment: Clean …, 2016
22016
Global optimization algorithms applied to solve a multi-variable inverse artificial neural network to improve the performance of an absorption heat transformer with energy …
JE Solis-Perez, JF Gómez-Aguilar, JA Hernández, RF Escobar-Jiménez, ...
Applied Soft Computing 85, 105801, 2019
12019
Use of Artificial Neural Networks in Optimizing Food Processes
RA Conde-Gutiérrez, U Cruz-Jacobo, JA Hernández
Mathematical and Statistical Applications in Food Engineering, 2020
2020
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