An artificial neural network approach for glomerular activity pattern prediction using the Graph Kernel method and the Gaussian mixture functions

Chemical Senses

Volumn 36, Issue 5, 2011, Pages 413-424

  Soh, Zu ^a   Tsuji, Toshio ^a   Takiguchi, Noboru ^b   Ohtake, Hisao ^c  

^a HIROSHIMA UNIVERSITY   (Japan)

^b KANAZAWA UNIVERSITY   (Japan)

^c OSAKA UNIVERSITY   (Japan)

Author keywords

Affactory bulb; Odor qualities; Olfactory receptor; Rats

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; GAUSSIAN MIXTURE FUNCTION; KERNEL METHOD; LEARNING ALGORITHM; OLFACTORY BULB; OLFACTORY RECEPTOR; PREDICTION; PRIORITY JOURNAL; SIMULATION; SMELLING; STATISTICAL ANALYSIS;

RATTUS;

EID: 79957443348     PISSN: 0379864X     EISSN: 14643553     Source Type: Journal    
DOI: 10.1093/chemse/bjq147     Document Type: Article

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