A Principal Component Analysis and neural network based non-iterative method for inverse conjugate natural convection
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Publication:709015
DOI10.1016/j.ijheatmasstransfer.2010.06.025zbMath1197.80039OpenAlexW1966751733MaRDI QIDQ709015
Publication date: 15 October 2010
Published in: International Journal of Heat and Mass Transfer (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijheatmasstransfer.2010.06.025
principal component analysisartificial neural networksinverse heat transferconjugate natural convectionheat flux determination
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Cites Work
- Direct and inverse mixed convections in an enclosure with ventilation ports
- Optimization of the location of multiple discrete heat sources in a ventilated cavity using artificial neural networks and micro genetic algorithm
- On the inverse heat convection problem of the flow over a cascade of rectangular blades
- An iterative regularization method in simultaneously estimating the inlet temperature and heat-transfer rate in a forced-convection pipe
- The Karhunen-Loève Galerkin method for the inverse natural convection problems
- Inverse problem of unsteady conjugated forced convection in parallel plate channels
- Non-iterative estimation of heat transfer coefficients using artificial neural network models
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