Pages that link to "Item:Q2270901"
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The following pages link to Performance predictions of laminar and turbulent heat transfer and fluid flow of heat exchangers having large tube-diameter and large tube-row by artificial neural networks (Q2270901):
Displaying 10 items.
- Estimation of heat transfer in oscillating annular flow using artifical neural networks (Q834227) (← links)
- Neural networks analysis of free laminar convection heat transfer in a partitioned enclosure (Q883542) (← links)
- Application of artificial neural network method for performance prediction of a gas cooler in a CO\(_2\) heat pump (Q955592) (← links)
- Simultaneous determination of in- and over-tube heat transfer correlations in heat exchangers by global regression (Q1400545) (← links)
- Analysis of forced convection heat transfer to supercritical carbon dioxide inside tubes using neural networks. (Q1417076) (← links)
- Application of neural networks to predict the steady state performance of a run-around membrane energy exchanger (Q1948346) (← links)
- Nanofluids as coolant in a shell and tube heat exchanger: ANN modeling and multi-objective optimization (Q2284322) (← links)
- Heat transfer analysis of phase change process in a finned-tube thermal energy storage system using artificial neural network (Q2370935) (← links)
- Correlating heat transfer and friction in helically-finned tubes using artificial neural networks (Q2462711) (← links)
- Advances in Neural Networks – ISNN 2005 (Q5707465) (← links)
