New deep recurrent hybrid artificial neural network for forecasting seasonal time series

IF 5.5 0 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Granular Computing Pub Date : 2024-01-10 DOI:10.1007/s41066-023-00445-3

Ozlem Karahasan, E. Baş, E. Eğrioğlu

引用次数: 0

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用于预测季节性时间序列的新型深度递归混合人工神经网络

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Granular Computing Multiple-

CiteScore

10.70

自引率

23.60%

发文量

期刊介绍： Granular Computing constitutes an extensive body of knowledge, which dwells upon individual formalisms of information granules (established within various settings including set theory, interval calculus, fuzzy sets, rough sets, shadowed sets, probabilistic granules) and unifies them to form a coherent methodological and developmental environment. Granular Computing is about formation, processing and communicating information granules.