Classification Of P300 Signals In Brain-Computer Interface Using Neural Networks With Adjustable Activation Functions

Classification Of P300 Signals In Brain-Computer Interface Using Neural Networks With Adjustable Activation Functions

Brain-Computer Interface (BCI) employs brain’s Electroencephalograms (EEG) signals and Event-related potentials (ERP) such as P300 to provide a direct communication between human brain and computer. P300 speller application is a BCI that finds the location of target character using P300 signal...

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书目详细资料
主要作者:	Aslarzanagh, Seyed Aliakbar Mousavi
格式:	Thesis
语言:	English
出版:	2013
主题:	QA75.5-76.95 Electronic computers Computer science
在线阅读:	http://eprints.usm.my/43934/1/Seyed%20Aliakbar%20Mousavi%20Aslarzanagh24.pdf
标签:	添加标签没有标签, 成为第一个标记此记录!

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