Estimating Reference Evapo- transpiration in Mosul (Iraq) Using Cascade Neural Networks
Recently artificial neural network (ANN) has been applied for estimating reference evapo-transpiration (ETₒ).In this study a mathematical model was built by application the cascade forward network technique (CCANN) to estimate the daily reference evapo-transpiration in the city of Mosul, north of Ir...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Unviversity of Technology- Iraq
2014-09-01
|
| Series: | Engineering and Technology Journal |
| Subjects: | |
| Online Access: | https://etj.uotechnology.edu.iq/article_99980_31481404e350ff3fcc5df02c117ddcfc.pdf |
| _version_ | 1797325652063420416 |
|---|---|
| author | Fatin Mahmoud Shehab Raid Rafi Omar Radhwan Yousif Sedik |
| author_facet | Fatin Mahmoud Shehab Raid Rafi Omar Radhwan Yousif Sedik |
| author_sort | Fatin Mahmoud Shehab |
| collection | DOAJ |
| description | Recently artificial neural network (ANN) has been applied for estimating reference evapo-transpiration (ETₒ).In this study a mathematical model was built by application the cascade forward network technique (CCANN) to estimate the daily reference evapo-transpiration in the city of Mosul, north of Iraq .The input parameters for the CCANN were the: temperature, solar radiation, wind speed at 2m height, and relative humidity. A check for the accuracy of the performance of the network was made using values of reference evapo-transpiration obtained from pan evaporation method. The results revealed linear correlation between the network output and the data of the measured pan evapo-transpiration with correlation coefficient of (0.9679). This indicates the possibility of use of CCANN to determine the daily reference evapo- transpiration. The results also show that the CCANN model performs better more accurate compared to other models. |
| first_indexed | 2024-03-08T06:12:27Z |
| format | Article |
| id | doaj.art-62668221f2954ca0adf7b82f7c0bb6d4 |
| institution | Directory Open Access Journal |
| issn | 1681-6900 2412-0758 |
| language | English |
| last_indexed | 2024-03-08T06:12:27Z |
| publishDate | 2014-09-01 |
| publisher | Unviversity of Technology- Iraq |
| record_format | Article |
| series | Engineering and Technology Journal |
| spelling | doaj.art-62668221f2954ca0adf7b82f7c0bb6d42024-02-04T17:31:24ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582014-09-013292277228510.30684/etj.32.9A1499980Estimating Reference Evapo- transpiration in Mosul (Iraq) Using Cascade Neural NetworksFatin Mahmoud ShehabRaid Rafi OmarRadhwan Yousif SedikRecently artificial neural network (ANN) has been applied for estimating reference evapo-transpiration (ETₒ).In this study a mathematical model was built by application the cascade forward network technique (CCANN) to estimate the daily reference evapo-transpiration in the city of Mosul, north of Iraq .The input parameters for the CCANN were the: temperature, solar radiation, wind speed at 2m height, and relative humidity. A check for the accuracy of the performance of the network was made using values of reference evapo-transpiration obtained from pan evaporation method. The results revealed linear correlation between the network output and the data of the measured pan evapo-transpiration with correlation coefficient of (0.9679). This indicates the possibility of use of CCANN to determine the daily reference evapo- transpiration. The results also show that the CCANN model performs better more accurate compared to other models.https://etj.uotechnology.edu.iq/article_99980_31481404e350ff3fcc5df02c117ddcfc.pdfevapotranspirationcascadeneural network |
| spellingShingle | Fatin Mahmoud Shehab Raid Rafi Omar Radhwan Yousif Sedik Estimating Reference Evapo- transpiration in Mosul (Iraq) Using Cascade Neural Networks Engineering and Technology Journal evapo transpiration cascade neural network |
| title | Estimating Reference Evapo- transpiration in Mosul (Iraq) Using Cascade Neural Networks |
| title_full | Estimating Reference Evapo- transpiration in Mosul (Iraq) Using Cascade Neural Networks |
| title_fullStr | Estimating Reference Evapo- transpiration in Mosul (Iraq) Using Cascade Neural Networks |
| title_full_unstemmed | Estimating Reference Evapo- transpiration in Mosul (Iraq) Using Cascade Neural Networks |
| title_short | Estimating Reference Evapo- transpiration in Mosul (Iraq) Using Cascade Neural Networks |
| title_sort | estimating reference evapo transpiration in mosul iraq using cascade neural networks |
| topic | evapo transpiration cascade neural network |
| url | https://etj.uotechnology.edu.iq/article_99980_31481404e350ff3fcc5df02c117ddcfc.pdf |
| work_keys_str_mv | AT fatinmahmoudshehab estimatingreferenceevapotranspirationinmosuliraqusingcascadeneuralnetworks AT raidrafiomar estimatingreferenceevapotranspirationinmosuliraqusingcascadeneuralnetworks AT radhwanyousifsedik estimatingreferenceevapotranspirationinmosuliraqusingcascadeneuralnetworks |