| 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 | 20 | 2014 |
| 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 | 14 | 2015 |
| 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 | 6 | 2018 |
| 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), 020906, 2018 | 4 | 2018 |
| 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 | 2 | 2016 |
| 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 Solís-Pérez, JF Gómez-Aguilar, JA Hernández, RF Escobar-Jiménez, ... Applied Soft Computing 85, 105801, 2019 | | 2019 |
