西南石油大学学报(自然科学版) ›› 1995, Vol. 17 ›› Issue (4): 124-128.DOI: 10.3863/j.issn.1000-2634.1995.04.020
• 基础学科及其它 • Previous Articles
Lin Wan-chang Rin Jun Li Ming Huang Xue-jia
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Abstract:
The artificial neural network (ANN) is a nonlinear dynamical system with the advantages, such as self adaptation, self organization and self learning. Basing on the fact that the artificial neural network has the ability to express any nonlinear mapping, this paper makes a system identification of nonlinear system. The simulation result obtained shows that the method is feasible and the calculation is precise.
Key words: Artificial neural network, Nonlinear system identification, Nonlinear system
CLC Number:
TP 39.9
Lin Wan-chang Rin Jun Li Ming Huang Xue-jia . Nonlinear System Identification Based on Artificial Neural Network[J]. 西南石油大学学报(自然科学版), 1995, 17(4): 124-128.
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http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y1995/V17/I4/124
