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Volumn 64, Issue 2, 2001, Pages 87-99
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Hybrid fuzzy logic committee neural networks for recognition of swallow acceleration signals
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Author keywords
Acceleration; Fuzzy logic committee networks; Swallowing
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Indexed keywords
BIOMECHANICS;
FUZZY SETS;
NEURAL NETWORKS;
PATTERN RECOGNITION;
ACCELERATION SIGNALS;
AUTOMATED DIAGNOSTIC SYSTEMS;
FUZZY LOGIC COMMITTEE NETWORKS;
COMPUTER AIDED DIAGNOSIS;
ARTICLE;
ARTIFACT;
ARTIFICIAL NEURAL NETWORK;
COMPUTER MODEL;
DYSPHAGIA;
SIGNAL PROCESSING;
SWALLOWING;
ACCELERATION;
BIOMECHANICS;
CASE-CONTROL STUDIES;
DEGLUTITION;
DEGLUTITION DISORDERS;
DIAGNOSIS, COMPUTER-ASSISTED;
FUZZY LOGIC;
HUMANS;
NEURAL NETWORKS (COMPUTER);
SOFTWARE;
SOFTWARE DESIGN;
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EID: 0035255085
PISSN: 01692607
EISSN: None
Source Type: Journal
DOI: 10.1016/S0169-2607(00)00099-7 Document Type: Article |
Times cited : (52)
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References (30)
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