http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : L. Al-Matarneh,A. Sheta,S. Bani-Ahmad,J.Alshaer,I.Al-oqily (검색결과 1 건)
- 무료
- 기관 내 무료
- 유료
-
Development of Temperature-based Weather Forecasting Models Using Neural Networks and Fuzzy Logic
L. Al-Matarneh,A. Sheta,S. Bani-Ahmad,J.Alshaer,I.Al-oqily 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.12
In critical fields such as flight, agriculture, tourism, etc, forecasting is an important issue due to its effectiveness in human life to know what will happen for unpredictable situations and events. Weather forecasts provide critical information about future weather conditions. Actually, weather forecasting plays an important role in our daily life by predicting what the weather will be tomorrow and it is reflected in a wide area of applications in our life so, we can prevent huge damages by forecasting the coming of storms or typhoons or get benefits from the forecasting activities. The temperature warnings are important forecasts because they are used to protect life and property and to improve the efficiency of operations. We propose computer-based models for weather forecasting based on temperature to predict the daily temperature using two techniques, artificial neural networks and fuzzy logic. The main purpose from this study is to develop different weather forecasting models based on the two techniques over different regions. The developed models show that the objectives of the study were achieved successfully. Finally, the models have been tested and the results confirm that the proposed models are capable to forecast the daily temperatures.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
