Estimating thermal performance of thermosyphons by artificial neural networks
Authors:
- Pedro L.O. MachadoPedro L.O. Machado
- Thomas S. PereiraThomas S. Pereira
- Marcio G. TrindadeMarcio G. Trindade
- Felipe M. BigliaFelipe M. Biglia
- Paulo H.D. SantosPSPaulo H.D. Santos
- Yara S. TadanoYara S. Tadano
- Hugo SiqueiraHSHugo Siqueira
- Thiago Antonini AlvesTAThiago Antonini Alves
Open Access
- 9 August 2023
- journal article
- research article
- Published by Elsevier in Alexandria Engineering Journal
- Vol. 79, 93-104
Abstract
No abstract availableKeywords
This publication has 40 references indexed in Scilit:
- Prediction of temperature performance of a two-phase closed thermosyphon using Artificial Neural NetworkHeat and Mass Transfer, 2012
- An invariant descriptor for heaters temperature prediction in conjugate coolingInternational Journal of Thermal Sciences, 2012
- Echo State Networks and Extreme Learning Machines: A Comparative Study on Seasonal Streamflow Series PredictionLecture Notes in Computer Science, 2012
- Echo State Networks for Seasonal Streamflow Series Forecasting2012
- Identifying the contribution of physical and chemical stressors to the daily number of hospital admissions implementing an artificial neural network modelAir Quality, Atmosphere & Health, 2011
- Designing a neural network for closed thermosyphon with nanofluid using a genetic algorithmBrazilian Journal of Chemical Engineering, 2011
- Prediction of CHF in concentric-tube open thermosiphon using artificial neural network and genetic algorithmHeat and Mass Transfer, 2010
- Prediction of temperature profiles using artificial neural networks in a vertical thermosiphon reboilerApplied Thermal Engineering, 2008
- Convective cooling of three discrete heat sources in channel flowJournal of the Brazilian Society of Mechanical Sciences and Engineering, 2008
- Analysis and Design of Echo State NetworksNeural Computation, 2007