- Tytuł:
- Evaluation of models for the dew point temperature determination
- Autorzy:
-
Górnicki, K.
Winiczenko, R.
Kaleta, A.
Choińska, A. - Powiązania:
- https://bibliotekanauki.pl/articles/298023.pdf
- Data publikacji:
- 2017
- Wydawca:
- Uniwersytet Warmińsko-Mazurski w Olsztynie
- Tematy:
-
dew point temperature
relative humidity
model
artificial neural networks - Opis:
- The accuracy of the available from the literature models for the dew point temperature determination was compared. The proposal of the modelling using artificial neural networks was also given. The experimental data were taken from the psychrometric tables. The accuracies of the models were measured using the mean bias error MBE, root mean square error RMSE, correlation coefficient R, and reduced chi-square χ2 . Model M3, especially with constants A=237, B=7.5, gave the best results in determining the dew point temperature (MBE: -0.0229 – 0.0038 K, RMSE: 0.1259 – 0.1286 K, R=0.9999, χ2 : 0.0159 – 0.0166 K2 ). Model M1 with constants A=243.5, B=17.67 and A=243.3, B=17.269 can be also considered as appropriate (MBE=-0.0062 and -0.0078 K, RMSE=0.1277 and 0.1261 K, R=0.9999, χ2 =0.0163 and 0.0159 K2 ). Proposed ANN model gave the good results in determining the dew point temperature (MBE=-0.0038 K, RMSE=0.1373 K, R=0.9999, χ2 =0.0189 K2 ).
- Źródło:
-
Technical Sciences / University of Warmia and Mazury in Olsztyn; 2017, 20(3); 241--257
1505-4675
2083-4527 - Pojawia się w:
- Technical Sciences / University of Warmia and Mazury in Olsztyn
- Dostawca treści:
- Biblioteka Nauki
Artykuł