Soft sensor based on adaptive local learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5506 LNCS, Issue PART 1, 2009, Pages 1172-1179

  Kadlec, Petr ^a   Gabrys, Bogdan ^a  

^a BOURNEMOUTH UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE LOCAL LEARNING; BUILDING TECHNIQUES; COMPUTATIONAL LEARNING; DATA OUTLIERS; DATA PREPROCESSING; DATA SETS; DYNAMIC ENVIRONMENTS; INFERENTIAL CONTROL; INPUT SPACE; LOCAL LEARNING; LOCAL MODEL; MEASUREMENT NOISE; MISSING VALUES; MODELLING TECHNIQUES; NOISY DATA; ON-LINE ADAPTATION; OPTIMAL PARAMETER; PREDICTIVE MODELLING; SOFT SENSORS; TRAINING ALGORITHMS;

LEARNING ALGORITHMS;

DATA PROCESSING;

EID: 70349142216     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02490-0_142     Document Type: Conference Paper

References (18)

1. Fortuna, L.: Soft Sensors for Monitoring and Control of Industrial Processes. Springer, Heidelberg
2. Jolliffe, I.T.: Principal Component Analysis. Springer, Heidelberg
3. Abdi, H.: Partial least squares (pls) regression. Encyclopedia of Social Sciences, Research Methods. Sage, Thousand Oaks (2003)
4. Dong, D., McAvoy, T.J., Chang, L.J.: Emission monitoring using multivariate soft sensors. In: Proceedings of the American Control Conference, vol.1 (1995)
5. Lin, B., Recke, B., Knudsen, J., Jrgensen, S.B.: A systematic approach for soft sensor development. Computers and Chemical Engineering 31(5) (2007)
6. Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford University Press, USA
7. Fortuna, L., Graziani, S., Xibilia, M.G.: Soft sensors for product quality monitoring in debutanizer distillation columns. Control Engineering Practice 13(4) (2005)
8. Vapnik, V.N.: Statistical learning theory. Wiley, New York
9. Jang, J.S.R., Sun, C.T., Mizutani, E.: Neuro-fuzzy and soft computing. Prentice-Hall, Upper Saddle River, NJ
10. Warne, K., Prasad, G., Siddique, N.H., Maguire, L.P.: Development of a hybrid pca-anfis measurement system for monitoring product quality in the coating industry. In: 2004 IEEE International Conference on Systems, Man and Cybernetics, vol.4 (2004)
11. Desai, K., Badhe, Y., Tambe, S.S., Kulkarni, B.D.: Soft-sensor development for fed-batch bioreactors using support vector regression. Biochemical Engineering Journal 27(3) (2006)
12. Jacobs, R.: Adaptive mixtures of local experts. Neural Computation 3(1) (1991)
13. Atkeson, C.G., Moore, A.W., Schaal, S.: Locally weighted learning. Artificial Intelligence Review 11(1) (1997)
14. Geman, S., Bienenstock, E., Doursat, R.: Neural networks and the bias/variance dilemma. Neural Computation 4(1) (1992)
15. French, R.: Catastrophic forgetting in connectionist networks: Causes, consequences and solutions. Trends in Cognitive Sciences 3(4) (1999)
16. Vijayakumar, S., D'Souza, A., Schaal, S.: Incremental online learning in high dimensions. Neural Computation 17(12) (2005)
17. Parzen, E.: On estimation of a probability density function and mode. Annals of Mathematical Statistics 33(3) (1962)
18. Gosset, W.S.: The probable error of a mean. Biometrika 6(1) (1908)