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Volumn , Issue , 2008, Pages 939-946

A fuzzy predictor model for the occupancy prediction of an intelligent inhabited environment

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC LOAD FORECASTING; FORECASTING; FUZZY LOGIC; FUZZY SYSTEMS; SENSORS; TIME SERIES ANALYSIS; WIRELESS SENSOR NETWORKS;

EID: 55249089234     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZY.2008.4630482     Document Type: Conference Paper
Times cited : (10)

References (27)
  • 6
    • 50249116263 scopus 로고    scopus 로고
    • Soft Comuting Prediction Techniques in Ambient Inteligence Environments
    • IEEE: LONDON
    • Akhlaghinia, M.J., A Lotfi, and C Langensiepen, Soft Comuting Prediction Techniques in Ambient Inteligence Environments, in FUZZIEEE-2007. 2007, IEEE: LONDON.
    • (2007) FUZZIEEE-2007
    • Akhlaghinia, M.J.1    Lotfi, A.2    Langensiepen, C.3
  • 9
    • 11844282766 scopus 로고    scopus 로고
    • Rutishauser, U., J. Joller, and R. Douglas, Control and Learning of Ambience by an Intelligent Building. IEEE Transaction on Systems, Man, and Cybernetics-Part A: Systems and Humans, January 2005. 35(1): p. 121-132.
    • Rutishauser, U., J. Joller, and R. Douglas, Control and Learning of Ambience by an Intelligent Building. IEEE Transaction on Systems, Man, and Cybernetics-Part A: Systems and Humans, January 2005. 35(1): p. 121-132.
  • 15
    • 3543008955 scopus 로고    scopus 로고
    • Figueiredo, M., et al., Learning algorithms for a class of neuro-fuzzy network and applications. IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Review, 2004, 34(3): p. 293-301.
    • Figueiredo, M., et al., Learning algorithms for a class of neuro-fuzzy network and applications. IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Review, 2004, 34(3): p. 293-301.
  • 16
    • 26844469668 scopus 로고    scopus 로고
    • Rule weight specification in fuzzy rule-based classification systems
    • Ishibuchi, H. and T. Yamamoto, Rule weight specification in fuzzy rule-based classification systems. IEEE Transactions on Fuzzy Systems, 2005. 13(4): p. 428-435.
    • (2005) IEEE Transactions on Fuzzy Systems , vol.13 , Issue.4 , pp. 428-435
    • Ishibuchi, H.1    Yamamoto, T.2
  • 17
    • 33645001792 scopus 로고    scopus 로고
    • Improving signal prediction performance of neural networks through multi-resolution learning approach
    • Liang, Y. and X. Liang, Improving signal prediction performance of neural networks through multi-resolution learning approach. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 2006, 36(2): p. 341-352.
    • (2006) IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics , vol.36 , Issue.2 , pp. 341-352
    • Liang, Y.1    Liang, X.2
  • 19
    • 34249315845 scopus 로고    scopus 로고
    • Dynamic parameter optimization of evolutionary computation for on-line prediction of time series with changing dynamics
    • Chen, Y.M. and C.-T. Lin, Dynamic parameter optimization of evolutionary computation for on-line prediction of time series with changing dynamics. Applied Soft Computing Journal-Soft Computing for Time Series Prediction, 2007. 7(4): p. 1170-1176.
    • (2007) Applied Soft Computing Journal-Soft Computing for Time Series Prediction , vol.7 , Issue.4 , pp. 1170-1176
    • Chen, Y.M.1    Lin, C.-T.2
  • 20
    • 0036530967 scopus 로고    scopus 로고
    • dynamic evolving neural-fuzzy inference system and its application for time-series prediction
    • DENFIS:, April
    • Kasabov, N. and Q. Song, DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction. IEEE Transactions on Fuzzy Systems, April 2002. 10(2): p. 144-154.
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , Issue.2 , pp. 144-154
    • Kasabov, N.1    Song, Q.2
  • 21
    • 33749791959 scopus 로고
    • Linear prediction: A tutorial review
    • April, IEEE
    • Makhoul, J. Linear prediction: A tutorial review, in IEEE. April 1975: IEEE.
    • (1975) IEEE
    • Makhoul, J.1
  • 24
    • 33751249040 scopus 로고    scopus 로고
    • TWNFI-a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling
    • Song, Q. and N. Kasabov, TWNFI-a transductive neuro-fuzzy inference system with weighted data normalization for personalized modeling. Neural Networks, 2006. 19: p. 1591-1596.
    • (2006) Neural Networks , vol.19 , pp. 1591-1596
    • Song, Q.1    Kasabov, N.2
  • 25
    • 0036902547 scopus 로고    scopus 로고
    • Selfi-Adaptive Neuro-Fuzzy Inference Systems for Classification Applications
    • Dec
    • Wang, J.-S. and G. Lee, Selfi-Adaptive Neuro-Fuzzy Inference Systems for Classification Applications. IEEE Transactions on Fuzzy Systems, Dec 2002. 10(6).
    • (2002) IEEE Transactions on Fuzzy Systems , vol.10 , Issue.6
    • Wang, J.-S.1    Lee, G.2
  • 27
    • 55249124127 scopus 로고    scopus 로고
    • PICAXE and XBee Tutorial. 2006 29/01/2006 [cited; Available from: http://www.rev-ed.co.uk/docs/axe210.pdf.
    • PICAXE and XBee Tutorial. 2006 29/01/2006 [cited; Available from: http://www.rev-ed.co.uk/docs/axe210.pdf.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.