A Brain Emotional Learning-based Prediction Model For the Prediction of Geomagnetic Storms

• Autorzy: Mahboobeh Parsapoor , Urban Bilstrup , Bertil Svensson
• Języki publikacji: EN

Abstrakty

EN

This study suggests a new data-driven model for the prediction of geomagnetic storm. The model is known as the Brain Emotional Learning-based Prediction Model (BELPM). BELPM consists of four main subsystems; the connection between these subsystems has been mimicked by the corresponding regions of the emotional system. The functions of these subsystems are explained using adaptive networks. The learning algorithm of BELPM is defined using the steepest descent (SD) and the least square estimator (LSE). BELPM is employed to predict geomagnetic storms using two geomagnetic indices, Auroral Electrojet (AE) Index and Disturbance Time (Dst) Index. To evaluate the performance of BELPM, the obtained results have been compared with ANFIS, WKNN. The results verify that BELPM has the capability to achieve a reasonable accuracy for both the short-term and the long-term geomagnetic storms prediction.(original abstract)

Słowa kluczowe

EN

Geophysics; Geography; Scientific research

PL

Geofizyka; Geografia; Badania naukowe

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2014
• Tom: 2
• Strony: 35--42

Twórcy

autor

Mahboobeh Parsapoor

• Halmstad University, Szwecja

autor

Urban Bilstrup

• Halmstad University, Szwecja

autor

Bertil Svensson

• Halmstad University, Szwecja

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