Zobrazeno 1 - 6
of 6
pro vyhledávání: '"R. A. Conde-Gutiérrez"'
Publikováno v:
Nonlinear Dynamics
The present work is focused on modeling and predicting the cumulative number of deaths from COVID-19 in México by comparing an artificial neural network (ANN) with a Gompertz model applying multiple optimization algorithms for the estimation of coef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27a1a1cfda243dc1b07c214fd8af71d1
https://doi.org/10.1007/s11071-021-06471-7
https://doi.org/10.1007/s11071-021-06471-7
Publikováno v:
Applied Soft Computing. 72:218-234
This research presents an application of an artificial neural network inverse (ANNi) and genetic algorithm (GA) to propose and solve a multivariable function in order to optimize of an absorption heat transformer (AHT) with energy recycling. The purp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b1580860b43b5c15462c3dcdd7a7c56
https://doi.org/10.1016/j.asoc.2018.08.008
https://doi.org/10.1016/j.asoc.2018.08.008
Autor:
J.A. Hernández, R. A. Conde-Gutiérrez, J. Siqueiros, D. Juárez-Romero, L.I. Morales, A. Huicochea
Publikováno v:
Applied Thermal Engineering. 85:322-333
An artificial neural network (ANN) model was developed to predict the coefficient of performance (COP) of an absorption heat transformer with a new physical design consisting of compact components, and its inverse (ANNi) was used to optimize the syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6d17fe5c2991f47e9aee4d5564e00b6
https://doi.org/10.1016/j.applthermaleng.2015.04.018
https://doi.org/10.1016/j.applthermaleng.2015.04.018
Autor:
O. R. Pérez, A. Márquez-Nolasco, R. A. Conde-Gutiérrez, J. Siqueiros, J.A. Hernández, A. Huicochea
Publikováno v:
Journal of Energy Resources Technology. 140
The most critical component of an absorption heat transformer (AHT) is the absorber, by which the exothermic reaction is carried out, resulting in a useful thermal energy. This article proposed a model based on improving the performance of energy for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4328029ab385259c39288bdf684792fa
https://doi.org/10.1115/1.4036544
https://doi.org/10.1115/1.4036544
Publikováno v:
Fuel. 124:158-167
An artificial neural network (ANN) approach was used to develop a new predictive model for the calculation of hydrocarbons breakthrough curves in separation of linear and branched paraffins by adsorption process. Three-layer ANN architecture was trai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::045302ab5ca2adfbff9ce7749ce5cc91
https://doi.org/10.1016/j.fuel.2014.01.080
https://doi.org/10.1016/j.fuel.2014.01.080
Autor:
U. Cruz-Jacobo, E. Viera-Martin, Ricardo Fabricio Escobar-Jiménez, R. A. Conde-Gutiérrez, José Francisco Gómez-Aguilar, J.A. Hernández, J.E. Solís-Pérez
Publikováno v:
Applied Soft Computing. 85:105801
In this research, global optimization algorithms were applied to solve the inverse artificial neural network (ANNi) for obtaining the best inputs values of an absorption heat transformer with energy recycling (AHTER) and improving its performance. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8bd19d7c51012047fc9cdee32dcd7a7
https://doi.org/10.1016/j.asoc.2019.105801
https://doi.org/10.1016/j.asoc.2019.105801