Neural network ensemble selection using multi-objective genetic algorithm in processing pulsed neutron data

SPWLA 45th Annual Logging Symposium 2004

Volumn , Issue , 2018, Pages

  Chen, Dingding ^a   Quirein, John ^a   Hamid, Syed ^a   Smith, Harry ^a   Grable, Jeff ^a  

^a HALLIBURTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DENSITY MEASUREMENT (SPECIFIC GRAVITY); ERRORS; FORECASTING; GENETIC ALGORITHMS; INVERSE PROBLEMS;

AUTOMATIC APPROACHES; LOGGING APPLICATIONS; MULTI-OBJECTIVE GENETIC ALGORITHM; MULTIOBJECTIVE FUNCTION; NEGATIVE CORRELATION; NEURAL NETWORK ENSEMBLES; TRIAL-AND-ERROR PROCESS; WEIGHTING COEFFICIENT;

DATA HANDLING;

EID: 85058812186     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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2. Helle, B. H., Bhatt, A., 2002, “Fluid saturation from well logs using committee neural networks”, Petroleum Geoscience, vol. 8, pp. 109-118.
3. Islam, M. M., Yao, X., 2003, “A constructive algorithm for training cooperative neural network ensembles”, IEEE Transactions on Neural Networks, vol. 14, No. 4, pp. 820-834
4. Krough, A., Vedelsby, J., 1995, “Neural network ensembles, cross validation, and active learning”, Advances in Neural Information Processing Systems 7, Cambridge, MA: MIT Press, pp. 231-238.
5. Liu, Y., Yao, X., 1999, “Ensemble learning via negative correlation”, Neural Networks, vol. 12, pp. 1399-1404.
6. Mullen, M., Povich, B., Camella, S., Hawks, R., 2001, “The application of neural networks to improve the usability of pulsed neutron logs for evaluating infill well locations in the Piceance basin of western Colorado and the San Juan basin of northwest New Mexico”, SPE Rocky Mountain Petroleum Technology Conference, Keystone, Colorado.
7. th Annual Logging Symposium.
8. th International Joint Conference on Artificial Intelligence, vol. 2, pp. 797-802.