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Volumn 111, Issue 2-3, 1998, Pages 187-205

The application of neural techniques to the modelling of time-series of atmospheric pollution data

Author keywords

Atmospheric pollution; Modelling; Neural networks; Neuro fuzzy networks

Indexed keywords

ATMOSPHERIC POLLUTION; METHODOLOGY; MODELING; POLLUTION MONITORING; TIME SERIES ANALYSIS;

EID: 0032170668     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0304-3800(98)00118-5     Document Type: Article
Times cited : (96)

References (12)
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  • 2
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    • On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
    • Horikawa S., Furuhashi T., Uchikawa Y On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm. IEEE Trans Neural Netw. 3:1992;5).
    • (1992) IEEE Trans Neural Netw , vol.3 , pp. 5
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  • 4
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    • Lippmann R.P. An introduction to computing with neural nets. IEEE ASSP Mag. 4(2):1987;4-22.
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    • Identification and control of dynamical systems containing neural networks
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    • Narendra, K.S.1    Parthasarathy, K.2
  • 9
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    • AFM™ 1.0, Adaptive Fuzzy Modelling
    • SGS-Thomson Microelectronics, 1995. AFM™ 1.0, Adaptive Fuzzy Modelling.
    • (1995) SGS-Thomson Microelectronics
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    • Fuzzy identification of Systems and its application to modeling and control.
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    • Sugeno, M.1    Takagi, T.2
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    • Fuzzy rule realization on associative memory system
    • Yamaguchi T., Imasaki N., Haruchi K. Fuzzy rule realization on associative memory system. Proc IJCNN '90. 2:1990;720-723.
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    • Yamaguchi, T.1    Imasaki, N.2    Haruchi, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.