| 基于DRNN的直接多步自适应预测器设计 |
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| 引用本文： | 窦金生,汤天浩.基于DRNN的直接多步自适应预测器设计[J].江苏科技大学学报(社会科学版),2006,20(6):62-66. |
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| 作者姓名： | 窦金生 汤天浩 |
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| 作者单位： | 上海海事大学,上海,200135;镇江船艇学院,江苏,镇江,212003;上海海事大学,上海,200135 |
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| 摘 要： | 介绍了一种基于对角回归神经网络(DRNN)的直接多步自适应预报器的设计方法。由于其有特殊记忆能力组成单元和特殊的组织结构形式,这种预报器可以在线通过对一个动态系统的输入输出样本的学习,自动建立这个动态系统的模型,而无需事先了解该系统的参数。因此,该预报器可以根据系统过去的输入输出样本和当前可以测量到的系统输入,来获得系统未来的输出值。本文首先介绍了这种预报器模型的结构和输出输入的映射关系,然后给出了一个用于系统预测分析的预测器的具体设计过程并给出一些仿真实验结果,介绍了这种预报模型在船舶机舱智能监控系统中的具体应用。
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| 关 键 词： | 自适应预报器 人工神经网络 时间序列 监控系统 |
| 文章编号： | 1673-4807（2006）06-0062-05 |
| 收稿时间： | 2006-09-01 |
| 修稿时间： | 2006年9月1日 |
Design of Direct Multi-step Adaptive Predictor Based on DRNN |
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| DOU Jinsheng,TANG Tianhao.Design of Direct Multi-step Adaptive Predictor Based on DRNN[J].Journal of Jiangsu University of Science and Technology:Natural Science Edition,2006,20(6):62-66. |
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| Authors: | DOU Jinsheng TANG Tianhao |
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| Institution: | 1. Shanghai Maritime University, Shanghai 200135 ,China; 2. Zhenjiang Watercraft College, Zhenjiang Jiangsu 212003 ,China |
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| Abstract: | A new direct multi-step adaptive predictor based on the diagonal recurrent neural network is presented.The new predictor does not require deciding any system parameter in advance.Because of the special structure and the retentive units,the system parameters can be identified and modified on line through the learning from a time series of a real dynamic process.So the predictor could obtain the future output value of the analyzed system according to its past output value and some measurable input signals.The structure of the predictor and its map relation are described.Then a prediction module is designed for trend analysis.Some experimental results with its application in the intelligent monitoring system of marine engine room are provided. |
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| Keywords: | adaptive predictor artificial neural networks time series monitoring system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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