ShareSummary
A novel neural network method is put forward to forecast the heat and mass transfer performance of padding equipment in evaporative cooling air conditioning. By using science computation MATLAB software, the paper forecasts the heat and mass transfer identity of several type padding equipment. All the errors between predicted and tested are no more than 5%.
Details
- Original title: A novel method to study on evaporative cooling air-conditioning performance.
- Record ID : 2006-2550
- Languages: English
- Source: Cryogenics and refrigeration. Proceedings of ICCR 2003.
- Publication date: 2003/04/22
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Indexing
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Hourly thermal load prediction for the next 24 ...
- Author(s) : KAWASHIMA M., DORGAN C. E., MITCHELL J. W.
- Date : 1995/01
- Languages : English
- Source: ASHRAE Transactions.
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A study method on wet-membrane evaporative cool...
- Author(s) : QIANG T., HUANG X., WU J., et al.
- Date : 2007/08/21
- Languages : English
- Source: ICR 2007. Refrigeration Creates the Future. Proceedings of the 22nd IIR International Congress of Refrigeration.
- Formats : PDF
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Examples of neural networks used for building s...
- Author(s) : CURTISS P. S.
- Date : 1997
- Languages : English
- Source: ASHRAE Transactions.1997 Annual Meeting, Boston, MA.
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Prediction of thermal comfort index predicted m...
- Author(s) : LIU S. B., CAO Q., FU M. X., WANG Y. Y.
- Date : 1997/09/09
- Languages : English
- Source: International Symposium on Air Conditioning in High Rise Buildings - 1997
- Formats : PDF
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Nonlinear HVAC computations using neural networks.
- Author(s) : MISTRY S. I., NAIR S. S.
- Date : 1993
- Languages : English
- Source: ASHRAE Transactions 1993.
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