Pattern adaptive technique to handle data quality variation

Neural Processing Letters

Volumn 10, Issue 1, 1999, Pages 7-15

  Wong, P M ^a   Gedeon, T D ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; BACKPROPAGATION; DATA REDUCTION; DATA STRUCTURES; ERROR ANALYSIS; FUZZY SETS; MEMBERSHIP FUNCTIONS; WELL LOGGING;

PATTERN ADAPTIVE NEURAL NETWORK (PANN);

NEURAL NETWORKS;

EID: 0032672654     PISSN: 13704621     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1018602627915     Document Type: Article

References (6)

1. Slade, P. and Gedeon, T.D.: Bimodal distribution removal, In: J. Mira, J. Cabestany and A. Priesto (eds), A New Trend in Neural Computation, Lecture Notes in Computer Science, Vol. 686, Springer-Verlag, Germany, 1993, pp. 249-254.
2. Wong, P.M. and Gedeon, T.D.: A new method to detect and remove outliers in noisy data using neural networks: error sign testing, International Journal of Systems Research and Information Science 7 (1995), 55-65.
3. Wong, P.M., Henderson, D. and Brooks, L.: Permeability determination using neural networks in the Ravva Field, offshore India, SPE Reservoir Evaluation and Engineering 1 (1998), 99-104.
4. Prechelt, L.: PROBEN1 - A set of benchmarks and benchmarking rules for neural network training algorithms, Technical Report 21/94, University of Karlsruhe, 1994.
5. Huang, Z., Shimeld, J., Williamson, M. and Katsube, J.: Permeability prediction with artificial neural network modelling in the Venture Gas Field, offshore Eastern Canada, Geophysics 61 (1996), 422-436.
6. Mohaghegh, S., Ameri, S. and Arefi, R.: Virtual measurement of heterogeneous formation permeability using geological well log responses, Log Analyst (March-April) (1996), 32-39.