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Volumn 103, Issue 1-2, 2004, Pages 122-128

Analysis of neural networks and analysis of feature selection with genetic algorithm to discriminate among pollutant gas

Author keywords

Air pollutants; Genetic algorithm; Multisensor; Neural networks

Indexed keywords

BACKPROPAGATION; FEATURE EXTRACTION; GASES; GENETIC ALGORITHMS; MONITORING; MULTILAYER NEURAL NETWORKS; PERSONAL COMPUTERS; PRINCIPAL COMPONENT ANALYSIS; SENSOR DATA FUSION; SPUTTERING; TITANIUM; TITANIUM OXIDES; VOLATILE ORGANIC COMPOUNDS;

EID: 4444344501     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.snb.2004.04.044     Document Type: Conference Paper
Times cited : (46)

References (9)
  • 4
    • 0010588176 scopus 로고    scopus 로고
    • Documentation, The Math Works Inc.
    • ®, Documentation, The Math Works Inc., 2000.
    • (2000) ®
  • 7
    • 0037210898 scopus 로고    scopus 로고
    • Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions
    • Boilot P., Hines E.L., Gongora M.A., Folland R.S. Electronic noses inter-comparison, data fusion and sensor selection in discrimination of standard fruit solutions. Sens. Actuators B. 88:2003;80-88
    • (2003) Sens. Actuators B , vol.88 , pp. 80-88
    • Boilot, P.1    Hines, E.L.2    Gongora, M.A.3    Folland, R.S.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.