Neural network and Bayesian network fusion models to fuse electronic nose and surface acoustic wave sensor data for apple defect detection

Sensors and Actuators, B: Chemical

Volumn 125, Issue 1, 2007, Pages 301-310

  Li, Changying ^a   Heinemann, Paul ^b   Sherry, Richard ^c  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b University Park   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Apple; Artificial neural networks; Back propagation network; Bayesian network; Electronic nose; Evolutionary strategy; Multisensor data fusion; Probabilistic neural networks; zNose

Indexed keywords

ACOUSTIC SURFACE WAVE DEVICES; ALGORITHMS; BACKPROPAGATION; BAYESIAN NETWORKS; FEATURE EXTRACTION; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS;

EVOLUTIONARY STRATEGY; FUSE ELECTRONIC NOSE; PROBABILISTIC NEURAL NETWORKS; VOLATILE PROFILES;

SENSOR DATA FUSION;

EID: 34347378913     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2007.02.027     Document Type: Article

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