Citation
Jeyabalan, V. (2011) Machine Learning - Brain-Based Devices; Study Results from Multimedia University Provide New Insights into Machine Learning - Brain-Based Devices. Telecommunications Weekly. p. 295. ISSN 1945-841x Full text not available from this repository.
Official URL: http://search.proquest.com/docview/863794222?accou...
Abstract
The EEG signals were pre-processed by means of adaptive recursive band-pass filtrations (ARBF) and classified using simplified fuzzy adaptive resonance theory mapping (ARTMAP) in which the classified signals are then translated into control signals used for machine control via the PLC. A real-time test system was designed using MATLAB for signal processing, KEP-Ware V4 OLE for process control (OPC), a wireless local area network router, an Omron Sysmac CPM1 PLC and a 5 V/0.3A motor.
Item Type: | Article |
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Subjects: | T Technology > T Technology (General) |
Divisions: | Faculty of Engineering and Technology (FET) |
Depositing User: | Ms Suzilawati Abu Samah |
Date Deposited: | 22 Oct 2013 03:55 |
Last Modified: | 22 Oct 2013 03:55 |
URII: | http://shdl.mmu.edu.my/id/eprint/4285 |
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