Long term prediction of product quality in a glass manufacturing process using a kernel based approach

Lecture Notes in Computer Science

Volumn 3512, Issue , 2005, Pages 960-967

  Jung, Tobias ^a   Herrera, Luis Javier ^b   Schoelkopf, Bernhard ^c  

^a JOHANNES GUTENBERG UNIVERSITY   (Germany)

^b UNIVERSITY OF GRANADA   (Spain)

^c MAX PLANCK INSTITUTE FOR BIOLOGICAL CYBERNETICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; COMPUTER SIMULATION; ITERATIVE METHODS; PARAMETER ESTIMATION; PERSONNEL TRAINING; PROCESS CONTROL; PRODUCT DESIGN; QUALITY CONTROL; SET THEORY;

GLASS MELTING TANK; KERNEL-BASED APPROACH; REGULARIZATION NETWORKS (RN); SUPPORT VECTOR MACHINES (SVM);

GLASS MANUFACTURE;

EID: 25144503324     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11494669_118     Document Type: Conference Paper

References (9)

1. EUNITE Competition 2003: Prediction of product quality in glass manufacturing, www.eunite.org (2003)
2. Engel, Y., Mannor, S., Meir, R.: The Kernel Recursive Least Square Algorithm. IEEE Transactions on Signal Processing, 52(8) (2004) 2275-2285
3. Engel, Y., Mannor, S., Meir, R.: Sparse online greedy support vector regression. Proc. of 13th European Conference on Machine Learning. Springer (2002)
4. Schoelkopf, B., Smola, A.: Learning with Kernels. Cambridge, MA: MIT Press (2002)
5. Smola, A., Schoelkopf, B.: Sparse greedy matrix approximation for machine learning. Proc. of 17th International Conference on Machine Learning. Morgan Kaufmann (2000)
6. Cao, L.J., Tay, F.E.H.: Support Vector Machine With Adaptive Parameters in Financial Time Series Forecasting. IEEE Transactions on Neural Networks. 14(6) (2003) 1506-1518
7. Cristianini, N, Shawe-Taylor, J.: An Introduction to Support Vector Machines. Cambridge University Preess. Cambridge, England (2000)
8. Chang, M.-W., Chen, B.-J., Lin, C.-J.: EUNITE Network Competition: Electricity Load Forecasting, November 2001. Winner of EUNITE world wide competition on electricity load prediction.
9. Csato, L., Opper,M.: Sparse on-line Gaussian processes. Neural Computation 14(3) (2002) 641-669