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Volumn 5551 LNCS, Issue PART 1, 2009, Pages 175-184

Porosity prediction using bagging of complementary neural networks

Author keywords

[No Author keywords available]

Indexed keywords

AVERAGING TECHNIQUE; BACK PROPAGATION NEURAL NETWORKS; FEED-FORWARD; GENERAL REGRESSION NEURAL NETWORK; REGRESSION PROBLEM; THREE MODELS; TRUTH VALUES; WELL LOG DATA;

EID: 69949087615     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01507-6_21     Document Type: Conference Paper
Times cited : (17)

References (13)
  • 2
    • 84948152666 scopus 로고    scopus 로고
    • Using diversity in preparing ensembles of classifiers based on different feature subsets to minimize generalization error
    • Flach, P.A., De Raedt, L. (eds.) Springer, Heidelberg
    • Zenobi, G., Cunningham, P.: Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error. In: Flach, P.A., De Raedt, L. (eds.) ECML 2001. LNCS, vol.2167, pp. 576-587. Springer, Heidelberg (2001)
    • (2001) ECML 2001. LNCS , vol.2167 , pp. 576-587
    • Zenobi, G.1    Cunningham, P.2
  • 4
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L.: Bagging Predictors. Machine Learning 24, 123-140 (1996)
    • (1996) Machine Learning , vol.24 , pp. 123-140
    • Breiman, L.1
  • 5
    • 0034243471 scopus 로고    scopus 로고
    • Boosting neural networks
    • Schwenk, H., Bengio, Y.: Boosting Neural Networks. Neural Computation 12, 1869-1887 (2000)
    • (2000) Neural Computation , vol.12 , pp. 1869-1887
    • Schwenk, H.1    Bengio, Y.2
  • 8
    • 34250733265 scopus 로고    scopus 로고
    • Ncertainty and geographic information: Computational and critical convergence
    • John Wiley, New York
    • Duckham, M.: Ncertainty and Geographic Information: Computational and Critical Convergence. In: Representation in a Digital Geography. John Wiley, New York (2003)
    • (2003) Representation in A Digital Geography
    • Duckham, M.1
  • 11
    • 0036864174 scopus 로고    scopus 로고
    • Committee neural networks for porosity and permeability prediction from well logs
    • DOI 10.1046/j.1365-2478.2002.00346.x
    • Bhatt, A., Helle, H.B.: Committee Neural Networks for Porosity and Permeability Prediction from Well Logs. Geophysical Prospecting 50, 645-660 (2002) (Pubitemid 36000239)
    • (2002) Geophysical Prospecting , vol.50 , Issue.6 , pp. 645-660
    • Bhatt, A.1    Helle, H.B.2
  • 13
    • 69949099176 scopus 로고    scopus 로고
    • Riiping, S.: mySVM-Manual (2000), http://www-ai.cs.uni-dortmund.de/ SOFTWARE/MYSVM/
    • (2000) MySVM-Manual
    • Riiping, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.