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BP算法的改进及其在非线性转子建模中的应用 被引量:2

A New Improved BP Algorithm and Its Application on Modeling for a Nonlinear Rotating Shafting
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摘要 In order to simulate the response of shafting with hysteresis nonlinear elementsa new improved BP algorithm is proposed. In the new method, the iteration steps,which are previously determined by experience, are here optimized, to prevent errorfunction from falling into a local minimum. At the same time, a new excitationfunction is adopted, so that the learning process of BP network will not oscillateand diverge under large iteration steps. The above two improvements increase theconvergent speed and stability of BP network. An illustrative example is given toshow the effectiveness of the new method. In order to simulate the response of shafting with hysteresis nonlinear elementsa new improved BP algorithm is proposed. In the new method, the iteration steps,which are previously determined by experience, are here optimized, to prevent errorfunction from falling into a local minimum. At the same time, a new excitationfunction is adopted, so that the learning process of BP network will not oscillateand diverge under large iteration steps. The above two improvements increase theconvergent speed and stability of BP network. An illustrative example is given toshow the effectiveness of the new method.
作者 曹德武 赵玫
出处 《数值计算与计算机应用》 CSCD 北大核心 2000年第2期121-126,共6页 Journal on Numerical Methods and Computer Applications
关键词 BP算法 人工神经网络 非线性振动 转子 建模 BP Network, Nonlinear Rotating Shafting
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  • 1陆金桂,韦柳涛,王石刚,余俊,周济.多层神经网络BP算法的初步研究[J].计算机科学,1993,20(1):60-61. 被引量:7
  • 2张立明,人工神经网络的模型及其应用,1993年
  • 3王汝笠,第六代计算机.人工神经网络计算机,1992年
  • 4焦李成,神经网络系统理论,1990年

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