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Output details

15 - General Engineering

University of Derby

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Output 17 of 47 in the submission
Article title

EEG-based expert system using complexity measures and probability density function control in alpha sub-band

Type
D - Journal article
Title of journal
Integrated Computer-Aided Engineering
Article number
-
Volume number
20
Issue number
4
First page of article
391
ISSN of journal
1875-8835
Year of publication
2013
URL
-
Number of additional authors
3
Additional information

The research is focused on using the EEG sensor to record and analyse the human knowledge acquisition and inference during the process operation. This paper introduces the development a novel expert system based on electroencephalogram (EEG) and demonstrates the process of knowledge acquisition and inference. In the EEG-based expert system, the knowledge described by physiological state information, unlike the description of spoken and written language, is without

strong regional and national characteristics; it explains what the experts know objectively. The outcomes will improve knowledge acquisition technology, the intelligence, and the optimization of decision-making for expert systems.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-