کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
535317 870340 2006 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Two-dimensional cellular automata and the analysis of correlated time series
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Two-dimensional cellular automata and the analysis of correlated time series
چکیده انگلیسی

Correlated time series are time series that, by virtue of the underlying process to which they refer, are expected to influence each other strongly. We introduce a novel approach to handle such time series, one that models their interaction as a two-dimensional cellular automaton and therefore allows them to be treated as a single entity. We apply our approach to the problems of filling gaps and predicting values in rainfall time series. Computational results show that the new approach compares favorably to Kalman smoothing and filtering.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 27, Issue 12, September 2006, Pages 1353–1360
نویسندگان
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