| 基于强跟踪滤波器训练的前向神经网络及其在系统辨识中的应用研究* |
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| 引用本文： | 赵奇,刘开第,庞彦军. 基于强跟踪滤波器训练的前向神经网络及其在系统辨识中的应用研究*[J]. 计算机应用研究, 2005, 22(8): 92-93 |
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| 作者姓名： | 赵奇 刘开第 庞彦军 |
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| 作者单位： | （河北工程学院，河北 邯郸 056038） |
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| 基金项目： | 国家自然科学基金资助项目(60474019) |
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| 摘 要： | 给出基于强跟踪滤波器训练前向神经网络的新方法。由于强制残差序列保持相互正交，强跟踪滤波器相对扩展Kalman滤波的收敛速度更快，同时精度更高。最后通过系统辨识仿真实例验证该方法的有效性。
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| 关 键 词： | 强跟踪滤波器；前向神经网；系统辨识 |
BP Neural Network Trained by Strong Tracking Filter and It's Application Investigation on System Identification |
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| ZHAO Qi,LIU Kai-di,PANG Yan-jun. BP Neural Network Trained by Strong Tracking Filter and It's Application Investigation on System Identification[J]. Application Research of Computers, 2005, 22(8): 92-93 |
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| Authors: | ZHAO Qi LIU Kai-di PANG Yan-jun |
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| Abstract: | A new kind of training method of BP neural network is given,which is based on strong tracking filter.For the reason of forcing the remains orthogonality, it converges rapidly and the precision is higher compared with the Extended Kalman Filter(EKF). At last, an identification model example is given to show the effectiveness of the method. |
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| Keywords: | Strong Tracking Filter BP Neural Network System Identification |
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