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Volumn 122, Issue , 1997, Pages 169-180

Prediction of petrophysical parameter logs using a multilayer backpropagation neural network

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BOREHOLE LOGGING; PHYSICAL PROPERTY;

EID: 0344348916     PISSN: 03058719     EISSN: None     Source Type: Book Series    
DOI: 10.1144/GSL.SP.1997.122.01.13     Document Type: Article
Times cited : (6)

References (14)
  • 4
    • 0001024110 scopus 로고
    • First and second-order methods for learning: Between steepest descent and newton's method
    • BATTITI, R. 1992. First and Second-order methods for learning: between steepest descent and Newton's method. Neural Computation, 4, 141-146.
    • (1992) Neural Computation , vol.4 , pp. 141-146
    • Battiti, R.1
  • 8
    • 0009742555 scopus 로고
    • Application of an artificial neural network an improved permeability profile
    • Aberdeen, Scotland, paper M
    • JENNER, R. & BALDWIN, J. R. 1994. Application of an artificial neural network an improved permeability profile. SPWLA 16th European Formation Evaluation Symposium, Aberdeen, Scotland, paper M.
    • (1994) SPWLA 16th European Formation Evaluation Symposium
    • Jenner, R.1    Baldwin, J.R.2
  • 12
    • 11144273669 scopus 로고
    • The perception: A probabilistic model for information storage and organisation in the brain
    • ROSENBLATT, F. 1958. The Perception: A probabilistic model for information storage and organisation in the brain. Psychological Review, 65, 386-408
    • (1958) Psychological Review , vol.65 , pp. 386-408
    • Rosenblatt, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.