Hybrid learning based Gaussian ARTMAP network for tool condition monitoring using selected force harmonic features

Sensors and Actuators, A: Physical

Volumn 203, Issue , 2013, Pages 394-404

  Wang, Guofeng ^a   Yang, Yinwei ^a   Guo, Zhiwei ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

Gaussian ARTMAP; Hybrid learning; Maximum relevance; Minimum redundancy; Tool condition classification

Indexed keywords

CLASSIFICATION ACCURACY; DYNAMIC CHARACTERISTICS; GAUSSIANS; GENERALIZATION ABILITY; HYBRID LEARNING; MAXIMUM RELEVANCE; TOOL CONDITION; TOOL CONDITION MONITORING;

COMPLEX NETWORKS; CONDITION MONITORING; GAUSSIAN DISTRIBUTION; REDUNDANCY; WEAR OF MATERIALS;

CLASSIFICATION (OF INFORMATION);

EID: 84886556999     PISSN: 09244247     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sna.2013.09.023     Document Type: Article

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