Artificial neural network based on rotation forest for biomedical pattern classification

2013 36th International Conference on Telecommunications and Signal Processing, TSP 2013

Volumn , Issue , 2013, Pages 581-585

  Koyuncu, Hasan ^a   Ceylan, Rahime ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Artificial neural network; biomedical pattern classification; classifier ensembles; rotation forest

Indexed keywords

BREAST CANCER DATA; CLASSIFICATION ACCURACY; CLASSIFIER ENSEMBLES; CLASSIFIER SYSTEMS; ENSEMBLE CLASSIFIERS; MULTI-LAYER PERCEPTRON NEURAL NETWORKS; PRINCIPAL COMPONENTS; ROTATION FORESTS;

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DECISION TREES; DISEASES; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); PRINCIPAL COMPONENT ANALYSIS; ROTATION; SIGNAL PROCESSING;

FORESTRY;

ALGORITHMS; DISEASES; FORESTS; NEURAL NETWORKS; OPTIMIZATION; PATTERN RECOGNITION; ROTATION;

EID: 84885648083     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TSP.2013.6614001     Document Type: Conference Paper

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