Research of the Steady-State Modeling Method Based on Neural Network

Yu Hua Zhu; Dian Zheng Zhuang

doi:10.4028/www.scientific.net/AMM.441.526

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 441Research of the Steady-State Modeling Method Based...

Research of the Steady-State Modeling Method Based on Neural Network

Abstract:

Nitric acid production process is complicated reaction mechanism, serious non-linear the traditional mechanism modeling to get the low accuracy of the mathematical model. This paper adopts a non-mechanism modeling, using the production history data, the use of artificial neural network has the right to arbitrary nonlinear mapping any approximation ability to simulate the relationship of the actual system input-output, trained to be get steady-state model of the nitric acid production process.

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Periodical:

Applied Mechanics and Materials (Volume 441)

Pages:

526-529

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.441.526

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Online since:

December 2013

Authors:

Yu Hua Zhu, Dian Zheng Zhuang

Keywords:

BP Neural Network (BPNN), Neural Network (NN), Nitric Acid, Steady-State Model

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References

[1] Y.H. Zhu": Microcomputer & Its Applications, 2003, pp.41-43(2003).

Google Scholar

[2] Yu Hua Zhu, Dian Zheng Zhuang: Applied Mechanics and Materials Vols. 325-326 (2013) pp.1726-1729.

Google Scholar

[3] Calise, A. J, Hovakimyan, N. Ldan, M, Adaptive Output Feedback Control of Nonlinear System Using Neural Networks,. J. Mol. Biol. 37, pp.1201-1211 (2001).

DOI: 10.1016/s0005-1098(01)00070-x

Google Scholar

[4] S. T, Luo, Y. Shi: Xi An Eelectronic University of Science and Technology Press (1999).

Google Scholar