- All Journals
- Al-Qadisiyah University
- Basrah University
- Kirkuk University
- Mosul University
- The Iraqi Borad for Medical Specialization
- University of Anbar
- University of Technology
- Al Mustafa University
- Al-Zahraa University for Women
- Alnoor University
- Kunooz University
- Misan University
- Ninevah University
- Tikrit University
- University of Al-Hamdaniya
- University of Kerbala
Forecasting of Maximum and Minimum Monthly Averages of Temperature in Baghdad City Using Multi-Layer Neural Network | ||
| Al-Rafidain University College For Sciences | ||
| Article 1, Volume 0, Issue 36, 2017, Pages 62-92 | ||
| Author | ||
| Buthaina Abduljadir | ||
| Abstract | ||
| The research aims to forecast the averages of maximum and minimum temperature averages for Baghdad synoptic station by using the multi-layered neural network. The research deals with two major problems , First , determining the number of input nodes , second , determining the hidden nodes in the layer . The results showed the importance and qualification of the network through the proper choosing for number of input nodes and number of hidden nodes in the layer, by using the statistical procedures AIC , BIC , and ALCc . Then the maximum and minimum temperature averages for Baghdad station has predicted for 2013 by using the previous statistical procedures and compared its results with the real measured data for the station , by using the MSE , MDE , and PMC statistical procedures . and then | ||
| Keywords | ||
| multi; Layer Networks; Back propagation Algorithm; Automatic Relevance Determation method; AIC; Forecasting | ||
|
Statistics Article View: 32 PDF Download: 7 |
||