Pattern recognition of wood material defects using wavelet and artificial neural network

Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis

Volumn 29, Issue 3, 2009, Pages 274-277

  Sun, Jianping ^a   Wang, Fenghu ^a   Cao, Jun ^a   Hu, Yingcheng ^a  

^a NORTHEAST FORESTRY UNIVERSITY   (China)

Author keywords

Defects; Pattern recognition; Wavelet neural network; Wood materials

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BP NETWORKS; DAUBECHIES WAVELET; ENERGY RATES; FREQUENCY SEGMENTS; HIDDEN NODES; MEDIUM DENSITY FIBERBOARDS; TOPOLOGICAL STRUCTURE; TRAINING SAMPLE; TWO LAYERS; TWO-LAYER NETWORK; VIBRATION SIGNAL; WAVELET NEURAL NETWORK; WOOD MATERIALS;

BACKPROPAGATION; DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION; NEURAL NETWORKS; SIGNAL PROCESSING; STRUCTURAL OPTIMIZATION; WAVELET ANALYSIS; WOOD;

DEFECTS;

DEFECTS; NEURAL NETWORKS; OPTIMIZATION; PATTERN RECOGNITION; SIGNALS; WOOD;

EID: 70350576754     PISSN: 10046801     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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