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...
| Main Authors: | , |
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| Format: | Article |
| Published: |
2005
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2371/ |