Simulation and prediction of alkalinity in sintering process based on grey least squares support vector machine

Author:

Song Qiang,Wang Ai-min

Publisher

Springer Science and Business Media LLC

Subject

Materials Chemistry,Metals and Alloys,Mechanics of Materials

Reference14 articles.

1. FAN Xiao-hui, WANG Hai-dong. Mathematical Model and Artificial Intelligence of Sintering Process [M]. Changsha: Central South University, 2002 (in Chinese).

2. LIU Si-feng, DANG Yao-guo, FANG Zhi-geng. Grey Systems Theory and Application [M]. Beijing: China Science Press, 2004 (in Chinese).

3. LI Guo-zheng, WANG Meng, ZENG Hua-jun. An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods [M]. Beijing: Publishing House of Electronics Industry, 2006 (in Chinese).

4. Evelio H, Yaman A. Control of Nonlinear Systems Using Polynomial ARMA Models [J]. AIChE Journal, 1993, 39(3): 446.

5. Narendra K S, Parthasarathy K. Identification and Control of Dynamical Systems Using Neural Networks [J]. IEEE Trans Neural Networks, 1990, 1(1): 4.

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