| 神经模糊控制在船舶自动舵中的应用 |
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| 引用本文： | 曹宁,吴中海,刘宏志,张齐勋.神经模糊控制在船舶自动舵中的应用[J].计算机应用,2010,30(8):2260-2264. |
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| 作者姓名： | 曹宁 吴中海 刘宏志 张齐勋 |
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| 作者单位： | 1. 广州市广东工业大学2. |
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| 基金项目： | 基于在线学习进化的未知环境行为自适应系统研究及应用 |
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| 摘 要： | 针对常规模糊自动舵由于受船舶控制过程的非线性、时变性以及风浪干扰等因素影响,模糊控制规则和隶属函数需要校正，利用神经网络的自学习能力，用神经网络去实现模糊控制，设计自动舵神经模糊控制器，采用BP算法和最小二乘算法的混合学习算法实现对模糊规则和隶属函数的参数训练，提高控制器的自适应能力。仿真实验表明所设计的控制器有效可行，适应船舶在风浪干扰环境下的控制性能要求。
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| 关 键 词： | 神经模糊控制、自动舵、混合学习算法 |
| 收稿时间： | 2010-01-18 |
| 修稿时间： | 2010-03-04 |
Improving downloading performance in hadoop distributed file system |
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| CAO Ning,WU Zhong-hai,LIU Hong-zhi,ZHANG Qi-xun.Improving downloading performance in hadoop distributed file system[J].journal of Computer Applications,2010,30(8):2260-2264. |
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| Authors: | CAO Ning WU Zhong-hai LIU Hong-zhi ZHANG Qi-xun |
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| Abstract: | Concerning the problems such as low downloading efficiency and imbalanced load of DataNode in Hadoop Distributed File System（HDFS）. Inthis paper two methods to optimize were proposed, one was to improve the whole process of downloading a file, the other was to optimize the downloading a block by a parallel download algorithm for dynamically allocating load by speed. Mathematical analysis and experiments prove that two methods can enhance the efficiency. Meanwhile, by combining the two methods, downloading is more efficient, and more stable when the load of DataNode can be balanced to some extent. |
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| Keywords: | cloud computing Hadoop Distributed File System (HDFS) multi-thread parallel downloading |
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