| Autor: |
Majid Abdollahzade, Mehdi Keshavarz, Hossein Iranmanesh |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
Recent Advances in Soft Computing ISBN: 9783319580876 |
| DOI: |
10.1007/978-3-319-58088-3_15 |
| Popis: |
Dust storm phenomena have vital effects on human life and are significant threat on ecosystem, climate and environmental conditions. Therefore, it may be of vital importance to develop an effective prediction system and mechanism to prevent it and/or reduce its devastating effects. This paper focuses on predicting meteorological conditions associated with dust-storms in the city of Ahvaz, south-western of Iran utilizing local linear neuro fuzzy model with LOLIMOT learning algorithm. For this purpose two different cases are considered. The first case aims to predict the next storm day occurrence and the second case focuses to calculate the number of storm days in next 15 days. The results show that findings under both cases are very close to reality and efficient for predicting dust storm occurrences in Ahvaz city and thus, the methodology could be useful for predicting this event for similar cities as well. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
