کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
382185 660742 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Description and prediction of time series: A general framework of Granular Computing
ترجمه فارسی عنوان
شرح و پیش بینی سری زمانی: یک چارچوب کلی از محاسبات گرانول
کلمات کلیدی
پیش بینی و توصیف سری سری زمانی، محاسبات گرانول، گرانول اطلاعات
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• Description and prediction of time series.
• Information granules based on time windows, amplitude and change of amplitude.
• Fuzzy relations to predict amplitude and change of amplitude.
• Several models of granular time series.
• Experiment results for public data.

In this paper, we address problems of description and prediction of time series by developing architectures of granular time series. Granular time series are models of time series formed at the level of information granules expressed in the representation space and time. With regard to temporal granularity, time series is split into temporal windows leading in this way to the formation of temporal information granules. Information granules are also quantified and constructed over the space of amplitude and change of amplitude of the series collected over time windows. In the description of time series we involve clustering techniques and build information granules in the representation space (viz. the space of amplitude and change of amplitude) of the temporal data. Fuzzy relations forming the essence of the prediction model are optimized using particle swarm optimization. Experimental results are reported for a number of publicly available time series.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 42, Issue 10, 15 June 2015, Pages 4830–4839
نویسندگان
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