A new method to predict the thermal sensation of an occupant using a neural network and its application to the automobile HVAC system.
Author(s) : UEDA M., TANIGUCHI Y., AOKI H.
Type of article: Article
Summary
The thermal sensation level was predicted by a neural network from the interior temperature of the vehicle and facial skin temperature of the occupant. The prediction of the thermal sensation using the neural network was satisfactorily accurate.
Details
- Original title: A new method to predict the thermal sensation of an occupant using a neural network and its application to the automobile HVAC system.
- Record ID : 1998-1900
- Languages: English
- Source: JSME int. J., B - vol. 40 - n. 1
- Publication date: 1997/02
- Document available for consultation in the library of the IIR headquarters only.
Links
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Indexing
- Themes: Mobile air conditioning
- Keywords: Car; Measurement; Artificial neural network; Thermal comfort; Air conditioning
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