| 多层前向神经网络的快速学习算法及其应用 |
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| 引用本文： | 叶军,张新华.多层前向神经网络的快速学习算法及其应用[J].控制与决策,2002,17(Z1):817-819. |
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| 作者姓名： | 叶军 张新华 |
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| 作者单位： | 绍兴文理学院,机电系,浙江,绍兴,312000 |
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| 基金项目： | 浙江省自然科学基金项目(500030) |
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| 摘 要： | 针对目前多层前向神经网络学习算法存在的不足,提出一种多层前向神经网络的快速学习算法,它不仅符合生物神经网络的基本特征,而且算法简单,学习收敛速度快,具有线性、非线性逼近精度高等特性.以二杆机械手逆运动学建模作为应用实例,仿真结果表明该方法是有效的,其算法与收敛速度更优于BP网络.
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| 关 键 词： | 多层前向神经网络 快速学习算法 运动学建模 |
| 文章编号： | 1001-0920(2002)0S-0817-03 |
| 修稿时间： | 2002年2月21日 |
High speed learning algorithm for a multilayer feedforward neural network and its application |
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| YE Jun,ZHANG Xin hua.High speed learning algorithm for a multilayer feedforward neural network and its application[J].Control and Decision,2002,17(Z1):817-819. |
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| Authors: | YE Jun ZHANG Xin hua |
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| Abstract: | Akindofhighspeedlearning algorithm for a multilayer feedforward neural network is presented. It not only fits the basic characteristics of the biological neural network but also is a simple algorithmwithhighspeedlearningprocessand excellent characteristics in the linear or nonlinear accurate approximation. An application example of inverse kinematic model for a two bar robotic hand is given. The simulation results show the efficiency of the proposed algorithm. |
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| Keywords: | multilayer feedforward neural network high speed learning algorithm kinematic model |
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