IDENTIFIKASI SINYAL ELEKTRODE ENCHEPALO GRAPH UNTUK MENGGERAKKAN KURSOR MENGGUNAKAN TEKNIK SAMPLING DAN JARINGAN SYARAF TIRUAN

IDENTIFIKASI SINYAL ELEKTRODE ENCHEPALO GRAPH UNTUK MENGGERAKKAN KURSOR MENGGUNAKAN TEKNIK SAMPLING DAN JARINGAN SYARAF TIRUAN

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This paper describe the application of backpropagation neural networks as classification and sampling technique (ST) for the extraction of features from the signal wave Electro Encephalo Graph (EEG). This research aims to develop a system that can recognize the EEG signal that is used to move the c...

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Bibliographic Details
Main Authors: Hindarto -, Moch. Hariadi, Mauridhi Hery Purnomo
Format: Article
Language:English
Published: Informatics Department, Engineering Faculty 2011-01-01
Series:Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Subjects:
Sampling Techniques
Back Propagation
EEG Signals
Online Access:https://kursorjournal.org/index.php/kursor/article/view/22

Internet

https://kursorjournal.org/index.php/kursor/article/view/22

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