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 : M. Divya Sri (검색결과 1 건)
- 무료
- 기관 내 무료
- 유료
-
Prognostication of Climate Using Sliding Window Algorithm
D.V.N. Koteswara Rao,M.Anusha,P. Nagendra Babu,M. Divya Sri,N.Rajesh,K. Sandeep Kumar 보안공학연구지원센터 2015 International Journal of u- and e- Service, Scienc Vol.8 No.4
Weather forecasting is the task of determining future state of the atmosphere. To predict the future’s weather condition, the variation in the conditions in past years must be utilized. The probability that the weather condition of the day in consideration will match the same day in previous year is very less. But the probability that it will match within the span of adjacent sixty days of previous year is very high. A Sliding window algorithm is emerging as a leading methodology for the application of weather prediction. So, the prediction is made based on sliding window algorithm. So, sixty days are considered for previous year a sliding window is selected of size equivalent to fifteen days. Every thirty days of sliding window is then matched with that of current year’s thirty days in consideration. The best matched window is made to participate in the process of predicting weather conditions. The month wise results are being computed for four months to check the accuracy. The experimental results demonstrate that the applied technique gives better predicted weather conditions are quite efficient with an average accuracy of 94.21%.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
