| 动态模糊神经网络在船舶动力定位中的应用 |
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| 引用本文： | 谷丽丽,邓志良.动态模糊神经网络在船舶动力定位中的应用[J].船舶工程,2006,28(2):43-46. |
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| 作者姓名： | 谷丽丽 邓志良 |
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| 作者单位： | 江苏科技大学,自动化系,镇江,212003;江苏科技大学,自动化系,镇江,212003 |
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| 摘 要： | 在前向模糊神经网络的归一化层和输出层之间加入递归层,形成的一种新型动态模糊神经网络(DFNN)具有动态映射能力,从而对动态系统有更好的响应.文章还推导了基于BP的反传学习算法.运用DFNN对船舶动力定位控制进行的仿真实验结果证明了该方法的有效性.
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| 关 键 词： | 船舶 动力定位 动态模糊神经网络 动态系统 |
| 文章编号： | 1000-6982(2006)02-0043-04 |
| 收稿时间： | 2005-04-28 |
| 修稿时间： | 2005-07-13 |
Application of dynamic fuzzy neural network in ship dynamic positioning system |
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| GU Li-li,DENG Zhi-liang.Application of dynamic fuzzy neural network in ship dynamic positioning system[J].Ship Engineering,2006,28(2):43-46. |
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| Authors: | GU Li-li DENG Zhi-liang |
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| Institution: | Dept. of Automation, Jiangsu University of Science and Technology, Zhenjiang 212003, China |
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| Abstract: | A new dynamical fuzzy neural network (DFNN) is constructed by adding a recurrent layer between the normalized layer and the output layer of the forward fuzzy neural network. The new DFNN has ability of dynamic mapping and better response to dynamic system. Meanwhile, the back propagation learning algorithm is given based on BP. A simulating test of dynamic positioning control of ships is done by using DFNN. The results show that the method is effective. |
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| Keywords: | ship dynamic positioning system dynamic fuzzy neural network(DFNN) dynamic system |
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