A rough RBF neural networks optimized by the genetic algorithm

Advances in Information Sciences and Service Sciences

Volumn 3, Issue 7, 2011, Pages 332-339

  Ding, Shifei ^a,b   Ma, Gang ^a   Xu, Xinzheng ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b INSTITUTE OF COMPUTING TECHNOLOGY   (China)

Author keywords

Genetic algorithm; Important degree of attributes; Knowledge entropy; Radial basis function neural networks; Rough set

Indexed keywords

ATTRIBUTION REDUCTION; DATA PARALLELISM; DATA SETS; HIDDEN LAYERS; IMPORTANT DEGREE OF ATTRIBUTES; INHERENT CHARACTERISTICS; INPUT LAYERS; KNOWLEDGE ENTROPY; OPTIMAL SOLUTIONS; OUTPUT ERRORS; OUTPUT LAYER; RADIAL BASIS FUNCTION NEURAL NETWORKS; RANDOM SEARCHES; RBF NEURAL NETWORK; ROUGH SET; SIMULATION RESULT; SOLUTION SPACE;

CLASSIFICATION (OF INFORMATION); COMPUTER SIMULATION; DATA HANDLING; ENTROPY; GENETIC ALGORITHMS; OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS; ROUGH SET THEORY; SCALES (WEIGHING INSTRUMENTS);

NEURAL NETWORKS;

EID: 80052570749     PISSN: 19763700     EISSN: None     Source Type: Journal    
DOI: 10.4156/aiss.vol3.issue7.39     Document Type: Article

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