| 基于伪阻抗学习的神经网络状态估计方法 |
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| 引用本文： | 丁利华,俞金寿.基于伪阻抗学习的神经网络状态估计方法[J].华东理工大学学报(自然科学版),1996,22(2):183-187. |
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| 作者姓名： | 丁利华 俞金寿 |
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| 作者单位： | 上海石油化工高等专科学校，华东理工大学自动化研究所 |
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| 摘 要： | 针对反向传播算法收敛速度慢，且常收敛于局部极小值的缺陷，讨论了伪阻抗学习算法；并利用神经网络的学习能力和非线性特性，讨论了非线性动态系统的状态估计方法。
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| 关 键 词： | 神经网络 非线性 状态估计 伪阻抗学习 |
A Method of State Estimation of Neural Network Based on Pseudo-impedance Learning Algorithm |
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| Ding Lihua.A Method of State Estimation of Neural Network Based on Pseudo-impedance Learning Algorithm[J].Journal of East China University of Science and Technology,1996,22(2):183-187. |
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| Authors: | Ding Lihua |
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| Abstract: | A pseudo-impedance learning algorithm is discussed to overcome the drawbacks of the slow convergence speed and the local minimum of the back-propagation algorithm.In the meantime,by utilizing the learning capacity and nonlinear characteristic of neural networks,a method of state estimation is discussed for nonlinear dynamic systems. Simulation shows that the learning algorithm has a fast convergence speed and good stability.The ability of following the tracks of states can be obtained when the algorithm is applied to state estimation. |
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| Keywords: | neural network nonlinear state estimation nonlinear dynamic system back-propagation algorithm pseudo-impedance learning |
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