Neural and hybrid models for time series modelling
Автор: Averkin Alexey, Yarushev Sergey
Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse
Статья в выпуске: 1, 2014 года.
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This article discusses the various methods for time series modeling. Emphasis on neural network and hybrid methods for time series modeling and forecasting. Several fuzzy neural network architectures, such as ANFIS and TSK are considered. Considered the possibility of hybridization methods of neural networks and regression analysis for time series prediction.
Hybrid models, time series, neural networks, fuzzy modeling techniques
Короткий адрес: https://sciup.org/14123239
IDR: 14123239
Статья научная
