A new method for constructing granular neural networks based on rule extraction and extreme learning machine

Pattern Recognition Letters

Volumn 67, Issue , 2015, Pages 138-144

  Xu, Xinzheng ^a   Wang, Guanying ^a   Ding, Shifei ^a   Jiang, Xiangying ^a   Zhao, Zuopeng ^a  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

Author keywords

Granular neural networks; Rough rule granular extreme learning machine; Rough set; Rule extraction; Single hidden layer feedforward neural networks

Indexed keywords

ALGORITHMS; BENCHMARKING; DATA REDUCTION; DECISION THEORY; EXTRACTION; FEEDFORWARD NEURAL NETWORKS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; NETWORK LAYERS; NEURAL NETWORKS; NEURONS; SET THEORY;

ATTRIBUTES REDUCTION; COMPREHENSIVE DESIGNS; CONFIDENCE LEVELS; EXTREME LEARNING MACHINE; INPUT AND OUTPUTS; RULE EXTRACTION; SINGLE-HIDDEN LAYER FEEDFORWARD NEURAL NETWORKS; TRAINING SAMPLE;

ROUGH SET THEORY;

EID: 84946493375     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2015.05.006     Document Type: Article

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