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 • 上一篇    

基于人工神经网络的非线性系统辨识

林万昌 黎明 任军 黄学嘉
  

  1. 石油计科系
  • 收稿日期:1994-10-24 修回日期:1900-01-01 出版日期:1995-11-20 发布日期:1995-11-20

Nonlinear System Identification Based on Artificial Neural Network

Lin Wan-chang Rin Jun Li Ming Huang Xue-jia
  

  1. Dept of computer science Dept of Economg anegement Oil Producing Plant; Baise; Guangxi
  • Received:1994-10-24 Revised:1900-01-01 Online:1995-11-20 Published:1995-11-20

摘要:

人工神经网络是-个非线性动力学系统,具有自适应、自组织、自学习等功能。本文利用人工神经网络具有表达任意非线性映射的能力,对非线性系统进行系统辨识。仿真结果表明,该方法是可行的,计算精度高。

关键词: 人工神经网络, B—P算法, 系统辨识, 非线性系统

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

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