Rough RBF neural networks based on attribute significance

Kongzhi yu Juece/Control and Decision

Volumn 21, Issue 7, 2006, Pages

  Li, Chang Biao ^a   Xia, Ke Wen ^a   Song, Jian Ping ^a   Lu, Xiao Chen ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Attribute significance; Oil water layer recognition; Rough RBF neural network; Rough set

Indexed keywords

PATTERN RECOGNITION; ROUGH SET THEORY; SIGNAL PROCESSING; TOPOLOGY;

ATTRIBUTE SIGNIFICANCE; FITTING PRECISION; OIL WATER LAYER RECOGNITION; ROUGH RADIAL BASIS FUNCTION (RBF) NEURAL NETWORK; TOPOLOGY STRUCTURE; TRAINING RATE;

NEURAL NETWORKS;

EID: 33748135594     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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