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Volumn , Issue , 2007, Pages 151-157

Lignite thickness estimation via adaptive fuzzy-neural network

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; MATHEMATICAL MODELS; NEURAL NETWORKS; THICKNESS MEASUREMENT;

EID: 84903154195     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (20)
  • 1
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    • Bardossy, G.1    Fodor, J.2
  • 3
    • 0021583718 scopus 로고
    • FCM: The fuzzy c-means clustering algorithm
    • Bezdek, J.C., Ehrlich, R., Full, W., 1984. FCM: the fuzzy c-means clustering algorithm, Computers&Geosciences 10(2-3), 191-203.
    • (1984) Computers&Geosciences , vol.10 , Issue.2-3 , pp. 191-203
    • Bezdek, J.C.1    Ehrlich, R.2    Full, W.3
  • 5
    • 33748715129 scopus 로고    scopus 로고
    • Quantification of the term geological assurance in coal classification using geostatistical methods
    • Diehl, P., 1997. Quantification of the term geological assurance in coal classification using geostatistical methods, Schriftenreihe der GDMB 79, 187-203.
    • (1997) Schriftenreihe Der GDMB , vol.79 , pp. 187-203
    • Diehl, P.1
  • 6
    • 0036174317 scopus 로고    scopus 로고
    • Post-construction settlement of rockfill dams analyzed via adaptive network based fuzzy inference systems
    • Habibagahi, G., 2002. Post-construction settlement of rockfill dams analyzed via adaptive network based fuzzy inference systems, Computers and Geotechnics 29, 211-233.
    • (2002) Computers and Geotechnics , vol.29 , pp. 211-233
    • Habibagahi, G.1
  • 9
    • 0027601884 scopus 로고
    • ANFIS: Adaptive network-based fuzzy inference systems
    • Jang, J-S.R., 1993. ANFIS: Adaptive network-based fuzzy inference systems, IEEE Trans. on Systems, Man, and Cybernetics 23(3), 665-685.
    • (1993) IEEE Trans. On Systems, Man, and Cybernetics , vol.23 , Issue.3 , pp. 665-685
    • Jang, J.-S.R.1
  • 15
    • 0021892282 scopus 로고
    • Fuzzy identification of systems and its applications to modeling and control
    • Takagi, H, Sugeno, M., 1985. Fuzzy identification of systems and its applications to modeling and control, IEEE Trans. On Systems, Man, and Cybernetics 15, 116-132.
    • (1985) IEEE Trans. On Systems, Man, and Cybernetics , vol.15 , pp. 116-132
    • Takagi, H.1    Sugeno, M.2
  • 16
    • 33644891019 scopus 로고    scopus 로고
    • Modelling electrical conductivity of groundwater using an adaptive neuro-fuzzy inference system
    • Tutmez, B., Hatipoglu, Z., Kaymak, U., 2006. Modelling electrical conductivity of groundwater using an adaptive neuro-fuzzy inference system. Computers&Geosciences 32, 421-433.
    • (2006) Computers&Geosciences , vol.32 , pp. 421-433
    • Tutmez, B.1    Hatipoglu, Z.2    Kaymak, U.3
  • 17
    • 33845585427 scopus 로고    scopus 로고
    • An uncertainty oriented fuzzy methodology for grade estimation
    • Tutmez, B., 2007. An uncertainty oriented fuzzy methodology for grade estimation, Computers&Geosciences 33(2), 280-288.
    • (2007) Computers&Geosciences , vol.33 , Issue.2 , pp. 280-288
    • Tutmez, B.1
  • 18
    • 33847129383 scopus 로고    scopus 로고
    • Use of fuzzy logic in lignite reserve estimation
    • Tutmez, B., Dag, A., 2007. Use of fuzzy logic in lignite reserve estimation, Energy Sources Part B 2, 93-103.
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    • Tutmez, B.1    Dag, A.2
  • 19
    • 34248588094 scopus 로고    scopus 로고
    • Fuzzy modelling for reserve estimation based on spatial variability
    • Tutmez, B., Tercan, A.E., Kaymak, U., 2007. Fuzzy modelling for reserve estimation based on spatial variability, Mathematical Geology 39(1).
    • (2007) Mathematical Geology , vol.39 , Issue.1
    • Tutmez, B.1    Tercan, A.E.2    Kaymak, U.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.