Coercively Adjusted Auto Regression Model for Forecasting in Epilepsy EEG
نویسندگان
چکیده
منابع مشابه
Coercively Adjusted Auto Regression Model for Forecasting in Epilepsy EEG
Recently, data with complex characteristics such as epilepsy electroencephalography (EEG) time series has emerged. Epilepsy EEG data has special characteristics including nonlinearity, nonnormality, and nonperiodicity. Therefore, it is important to find a suitable forecasting method that covers these special characteristics. In this paper, we propose a coercively adjusted autoregression (CA-AR)...
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ژورنال
عنوان ژورنال: Computational and Mathematical Methods in Medicine
سال: 2013
ISSN: 1748-670X,1748-6718
DOI: 10.1155/2013/545613