Fuzzy clustering complex-valued neural network to diagnose cirrhosis disease

Expert Systems with Applications

Volumn 38, Issue 8, 2011, Pages 9744-9751

  Ceylan, Rahime ^a   Ceylan, Murat ^a   Özbay, Yüksel ^a,b   Kara, Sadik ^c  

^a SELCUK UNIVERSITY   (Turkey)

^b MEVLANA UNIVERSITY   (Turkey)

^c FATIH UNIVERSITY   (Turkey)

Author keywords

Cirrhosis; Complex valued artificial neural network; Doppler signals; Fuzzy c means clustering; Liver

Indexed keywords

CIRRHOSIS; CLASSIFICATION RATES; CLASSIFICATION RESULTS; COMPLEX-VALUED ARTIFICIAL NEURAL NETWORK; COMPLEX-VALUED NEURAL NETWORKS; DOPPLER SIGNALS; FINAL DECISION; FUZZY C MEANS CLUSTERING; HEALTHY SUBJECTS; NEW MODEL; PATTERN CLASSIFICATION; PERFORMANCE EVALUATION CRITERIA; PORTAL VEINS; PRE-PROCESSING; SENSITIVITY AND SPECIFICITY; THREE PHASIS; TRAINING PATTERNS;

DIAGNOSIS; FAST FOURIER TRANSFORMS; FUZZY CLUSTERING; FUZZY SYSTEMS; LIVER;

NEURAL NETWORKS;

EID: 79953692078     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.02.025     Document Type: Article

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