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Volumn 2507, Issue , 2002, Pages 302-312

Lithology recognition by neural network ensembles

Author keywords

[No Author keywords available]

Indexed keywords

LITHOLOGY; PETROLEUM PROSPECTING;

EID: 77957872729     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36127-8_29     Document Type: Conference Paper
Times cited : (3)

References (19)
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    • Seismic facies mapping by competitive neural networks, San Antonio, CD-ROM
    • [2] Saggaf, M. M., I Marhoon, M., and Toksöz, M. N., Seismic facies mapping by competitive neural networks., SEG/San Antonio 2001, San Antonio, 2001, CD-ROM.
    • (2001) Seg/San Antonio 2001
    • Saggaf, M.M.1    IMarhoon, M.2    Toksöz, M.N.3
  • 3
    • 84948144678 scopus 로고    scopus 로고
    • Using Neural Networks to Predict Lithology from Well Logs
    • San Antonio, CD-ROM
    • [3] Ford, D. A., Kelly, M. C.,.Using Neural Networks to Predict Lithology from Well Logs., SEG/San Antonio 2001, San Antonio, 2001, CD-ROM.
    • (2001) Seg/San Antonio 2001
    • Ford, D.A.1    Kelly, M.C.2
  • 4
    • 84948174610 scopus 로고    scopus 로고
    • Reservoir Characterization by Calibration of Self-Organized Map Clusters
    • San Antonio, CD-ROM
    • [4] Taner, M. T., Walls, J. D., Smith, M., Taylor, G., Carr, M. B., Dumas, D.,.Reservoir Characterization by Calibration of Self-Organized Map Clusters., SEG/San Antonio 2001, San Antonio, 2001, CD-ROM.
    • (2001) Seg/San Antonio 2001
    • Taner, M.T.1    Walls, J.D.2    Smith, M.3    Taylor, G.4    Carr, M.B.5    Dumas, D.6
  • 8
    • 0034315099 scopus 로고    scopus 로고
    • Evolutionary ensembles with negative correlation learning
    • Y. Liu and X. Yao, "Evolutionary ensembles with negative correlation learning., IEEE Transactions on Evolutionary Computation, 4 (2000), pp. 380-387.
    • (2000) IEEE Transactions on Evolutionary Computation , vol.4 , pp. 380-387
    • Liu, Y.1    Yao, X.2
  • 11
    • 0033893813 scopus 로고    scopus 로고
    • Optimal linear combination of neural networks for improving classification performance
    • [11] N. Ueda,.Optimal linear combination of neural networks for improving classification performance., IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (2000), pp. 207-215.
    • (2000) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.22 , pp. 207-215
    • Ueda, N.1
  • 12
    • 84948161380 scopus 로고    scopus 로고
    • MSc dissertation, Electrical Engineering Department, PUC-Rio, pages (in Portuguese)
    • dos Santos, R.O.V., Combining MLP Neural Networks in Classification Problems, MSc dissertation, Electrical Engineering Department, PUC-Rio, 2001, 105 pages (in Portuguese).
    • (2001) Combining MLP Neural Networks in Classification Problems , pp. 105
    • dos Santos, R.1
  • 13
  • 16
    • 0002516156 scopus 로고
    • Fuzzy measures and fuzzy integrals: A survey
    • North Holland, Amsterdam
    • M. Sugeno, "Fuzzy measures and fuzzy integrals: a survey., in Fuzzy Automata and Decision Processes, North Holland, Amsterdam, 1977, pp. 89-102.
    • (1977) Fuzzy Automata and Decision Processes , pp. 89-102
    • Sugeno, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.