Applicability of connectionist methods to predict thermal resistance of pulsating heat pipes with ethanol by using neural networks
Authors:
- Mohammad Hossein AhmadiMohammad Hossein Ahmadi
- Afshin TatarATAfshin Tatar
- Mohammad Alhuyi NazariMNMohammad Alhuyi Nazari
- Roghayeh GhasempourRGRoghayeh Ghasempour
- Ali J. ChamkhaACAli J. Chamkha
- Wei-Mon YanWYWei-Mon Yan
- 1 November 2018
- journal article
- research article
- Published by Elsevier in International Journal of Heat and Mass Transfer
- Vol. 126, 1079-1086
Abstract
No abstract availableKeywords
Funding Information
- Ministry of Science and Technology, Taiwan (MOST 106-2221-E-027-102-MY2)
This publication has 57 references indexed in Scilit:
- Experimental investigation on performance of a rotating closed loop pulsating heat pipeInternational Communications in Heat and Mass Transfer, 2013
- Experimental Investigation of a Pulsating Heat Pipe Using Ferrofluid (Magnetic Nanofluid)Journal of Heat Transfer, 2011
- EEG signals classification using the K-means clustering and a multilayer perceptron neural network modelExpert Systems with Applications, 2011
- Least squares support vector machine employing model-based methods coefficients for analysis of EEG signalsExpert Systems with Applications, 2010
- Photometric redshifts with the Multilayer Perceptron Neural Network: Application to the HDF-S and SDSSAstronomy & Astrophysics, 2004
- Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant AnalysisNeural Computation, 2002
- Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciencesAtmospheric Environment, 1998
- Universal Approximation Using Radial-Basis-Function NetworksNeural Computation, 1991
- Orthogonal least squares learning algorithm for radial basis function networksIEEE Transactions on Neural Networks, 1991
- The multilayer perceptron as an approximation to a Bayes optimal discriminant functionIEEE Transactions on Neural Networks, 1990