Detection of outlier and a robust BP algorithm against outlier

Computers and Chemical Engineering

Volumn 28, Issue 8, 2004, Pages 1403-1408

  Zhao, Weixiang ^a,b   Chen, Dezhao ^a   Hu, Shangxu ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b Wallace H Coulter School of Engineering   (United States)

Author keywords

Detection; Outlier; PLS; RBF; Robust

Indexed keywords

ALGORITHMS; DATA REDUCTION; ERROR ANALYSIS; LARGE SCALE SYSTEMS; LEAST SQUARES APPROXIMATIONS; RADIAL BASIS FUNCTION NETWORKS; ROBUSTNESS (CONTROL SYSTEMS);

OUTLIER DETECTION METHOD; TRAINING ALGORITHMS;

CHEMICAL ENGINEERING;

COMPUTER;

ALGORITHM; ARTICLE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MECHANICS;

EID: 2342541061     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2003.10.006     Document Type: Article

References (14)

1. Bianchini M., Frasconi P., Gori M. Learning without local minima in radial basis function networks. IEEE Transaction on Neural Networks. 6(3):1995;749-755
2. Chen J., Bandoni A., Romagnoli J.A. Outlier detection in process plant data. Computers & Chemical Engineering. 22(4/5):1998b;641-646
3. Chen S., Cowan C., Grant P.M. Orthogonal least squares learning algorithm for radial basis function networks. IEEE Transaction on Neural Networks. 2(2):1991;302-309
4. Chen J., Romagnoli J.A. Strategy for simultaneous dynamic data reconciliation and outliers detection. Computers & Chemical Engineering. 22(4-5):1998a;559-562
5. Chng E.S., Chen S., Mulgrew B. gradient radial basis function networks for nonlinear and nonstationary time series prediction. IEEE Transaction on Neural Networks. 7(1):1996;190-194
6. Christensen R., Pearson L.M. Case-deletion diagnostics for mixed models. Technometrics. 34(1):1992;38-45
7. Geldi P. Notes on the history and nature of partial least squares (PLS) modeling. Journal of Chemometrics. 2:1988;231-246
8. Hoskuldsson A. PLS regression methods. Journal of Chemometrics. 2:1988;211-228
9. Lund R.E. Tables for an approximate test for outliers in linear models. Technometrics. 17(4):1975;473-476
10. Mah R., Tamhane A.C. Detection of gross errors in process data. AIChE Journal. 28(5):1982;828-830
11. Muñoz A., Muruzábal J. Self-organizing maps for outlier detection. Neurocomputing. 18:1998;33-60
12. Prescott P. An approximate test for outliers in linear models. Technometrics. 17(1):1975;129-132
13. Walczak B., Massart D.L. The radial basis functions - Partial least squares approach as a flexible non-linear regression technique. Analytica Chimica Acta. 331(3):1996;177-185
14. Zhao W., Chen D., Hu S. Potential function based neural networks and its application to the classification of complex chemical patterns. Computers and Chemistry. 22(5):1998;385-391