The identification of industrial processes based on SVM

Proceedings of 2002 International Conference on Machine Learning and Cybernetics

Volumn 1, Issue , 2002, Pages 520-523

  Li, Li Na ^a   Hou, Chao Zhen ^a  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

CSTR; Identification; Neural network; Regression; SVM

Indexed keywords

COMPUTER SIMULATION; CONSTRAINT THEORY; FUNCTION EVALUATION; IDENTIFICATION (CONTROL SYSTEMS); INDUSTRIAL APPLICATIONS; LAGRANGE MULTIPLIERS; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; OPTIMIZATION; PROCESS CONTROL; REGRESSION ANALYSIS; TIME VARYING CONTROL SYSTEMS;

CONTINUOUS STIRRED TANK REACTOR; INDUSTRIAL PROCESSES IDENTIFICATION; SUPPORT VECTOR MACHINE;

LEARNING SYSTEMS;

EID: 0036925751     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. V. N. Vapnik. Estimation of Dependencies Based on Empirical Data, Berlin: Spring-Verlag, 1982.
2. Y. Li, S. Gong, H. Liddell, Support vector regression and classification based multi-view face detection and recognition. IEEE International Conference on Automatic Face & Gesture Recognition, pp300-305, Grenoble, France, 2000.
3. C. J. C. Burges. A tutorial on support vector machines for pattern recognition. Data mining and Knowledge Discovery, Vol. 2, pp121-167, 1998.
4. T. B. Trafalis. Support vector machine for regression and applications to financial forecasting. Proceedings of the International Joint Conference on Neural Networks, pp348-353, 2000.
5. V. N. Vapnik. The Nature of Statistical Learning Theory, Springer, 1995.
6. S. Benayad, A. Salem, J. Legrand. Investigation of the interaction of velocity and concentration fields by coupling LDV to conductivity probe in a continuous stirred tank reactor (CSTR). Chemical Engineering Journal, Vol. 84, pp239-245 2001.