Ranking importance of input parameters of neural networks

Expert Systems with Applications

Volumn 15, Issue 3-4, 1998, Pages 405-411

  Sung, A H ^a  

^a NEW MEXICO INSTITUTE OF MINING AND TECHNOLOGY   (United States)

Author keywords

Artificial neural networks; Change of MSE; Fuzzy curves; Importance ranking; Sensitivity analysis

Indexed keywords

EID: 0000671231     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0957-4174(98)00041-4     Document Type: Article

References (12)

1. Bartlett E.B. (1994). Self determination of input variable importance using neural networks. Neural, Parallel and Scientific Computations, 2, 103-114.
2. Dagli, C. H., Akay, M., Ersoy, O., & Fernandez, B. R. (Eds.). (1997). Smart engineering systems: neural networks, fuzzy logic, data mining, and evolutionary programming. Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 7. New York: ASME Press.
3. Engelbrecht, A. P., Cloete, I., & Zurada, J. M. (1995). Determining the significance of input parameters using sensitivity analysis, From natural to artificial neural computation: Proceedings of International Workshop on Artificial Neural Networks (pp. 382-388). Malaga-Torremolinos, Spain: Springer.
4. Hashem S., & Schmeiser B. (1997). Optimal linear combinations of neural networks. Neural Networks, 10 (4), 599-614.
5. He, F., Sung, A. H., & Guo, B. (1996). Using neural networks to predict oil well cement bonding quality, (Technical Report). Socorro: New Mixico Tech, Computer Science Department.
6. He, F., Sung, A. H., & Guo, B. (1997). A neural network for prediction of oil well cement bonding quality, Proceedings of IASTED International Conference on Control (pp. 417-420). Cancun, Mexico: IASTED-ACTA Press.
7. Hertz, J., Krogh, A., and Palmer, R.G. (1991). Introduction to the Theory of Neural Computation. Redwood City: Addison-Wesley.
8. Lin Y., & Cunningham G.A. (1995). A new approach to fuzzy-neural system modeling. IEEE Transactions on Fuzzy Systems, 3 (2), 190-198.
9. Moller M.F. (1993). A scaled conjugate gradient algorithm for fast learning. Neural Networks, 6, 525-533.
10. Smith, R. C. (1984). Journal of Petroleum Technology, 36(12), 1897-1904.
11. Zurada, J. M., Malinowski, A., & Cloete, I. (1994). Sensitivity analysis for minimization of input data dimension for feed forward neural network, Proceedings of IEEE International Symposium on Circuits and Systems. London: IEEE Press.
12. Zurada, J. M. (1992). Introduction to Artificial Neural Systems. St. Paul, MINN: West Publishing Company.