Improving the performance of two-state mental task brain-computer interface design using linear discriminant classifier

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Improving the performance of two-state mental task brain-computer interface design using linear discriminant classifier

The purpose of this study is to motivate the use of the simpler Linear Discriminant (LD) classifier as compared to the commonly used Multilayer-perceptron-backpropagation (MLP-BP) neural network for Brain Computer Interface (BCI) design. We investigated the performances of MLP-BP and LD classifiers...

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Bibliographic Details
Main Authors:	Palaniappan, , R, Huan, , NJ
Format:	Article
Published:	2005
Subjects:	QA75.5-76.95 Electronic computers. Computer science
Online Access:	http://shdl.mmu.edu.my/2371/

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