Feed-forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection

International Journal of Imaging Systems and Technology

Volumn 25, Issue 2, 2015, Pages 153-164

  Wang, Shuihua ^a,b   Zhang, Yudong ^a   Dong, Zhengchao ^c   Du, Sidan ^b   Ji, Genlin ^a   Yan, Jie ^d   Yang, Jiquan ^a   Wang, Qiong ^a   Feng, Chunmei ^a   Phillips, Preetha ^e  

^a NANJING NORMAL UNIVERSITY   (China)

^b NANJING UNIVERSITY   (China)

^c NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

^d STANFORD UNIVERSITY   (United States)

^e SHEPHERD UNIVERSITY   (United States)

Author keywords

artificial bee colony; classification; feed forward neural network; hybridization; magnetic resonance imaging; particle swarm optimization; pattern recognition; principle component analysis; stationary wavelet transform

Indexed keywords

BRAIN MAPPING; CLASSIFICATION (OF INFORMATION); MAGNETIC RESONANCE IMAGING; PARTICLE SWARM OPTIMIZATION (PSO); PATTERN RECOGNITION; WAVELET TRANSFORMS;

ARTIFICIAL BEE COLONIES; ARTIFICIAL BEE COLONIES (ABC); AUTOMATIC CLASSIFICATION SYSTEMS; HYBRIDIZATION; K FOLD CROSS VALIDATIONS; PRINCIPLE COMPONENT ANALYSIS; STATE-OF-THE-ART METHODS; STATIONARY WAVELET TRANSFORMS;

FEEDFORWARD NEURAL NETWORKS;

EID: 84929610466     PISSN: 08999457     EISSN: 10981098     Source Type: Journal    
DOI: 10.1002/ima.22132     Document Type: Article

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