| 高精度RBP-模糊推理复合学习系统 |
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| 引用本文： | 权太范.高精度RBP-模糊推理复合学习系统[J].自动化学报,1995,21(4):392-399. |
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| 作者姓名： | 权太范 |
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| 作者单位： | 1.哈尔滨工业大学无线电工程系,哈尔滨 |
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| 摘 要： | 该文提出了高精度RBP-模糊推理复合学习系统.系统主要由基于鲁棒估计的鲁棒BP学习环节和基于混合合成推理的模糊推理环节构成.该学习系统的主要特点是可由鲁棒BP算法和min-max,max-min模糊推理算法简单地实现.最后通过在目标跟踪问题中应用结果,表示了该算法的高精度和鲁棒性.
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| 关 键 词： | BP神经网 模糊推理 鲁棒估计 目标跟踪系统 |
| 收稿时间： | 1993-2-23 |
A Highly Accurate Robust BP-fuzzy Reasoning System for Learning Combination |
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| Quan Taifan.A Highly Accurate Robust BP-fuzzy Reasoning System for Learning Combination[J].Acta Automatica Sinica,1995,21(4):392-399. |
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| Authors: | Quan Taifan |
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| Affiliation: | 1. Dept.of Radio Engineering,Harbin Institute of Technology Harbin |
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| Abstract: | A new accurately robust BP-fuzzy reasoning system for learning combination
is proposed. This learning system is mainly constructed with a robust BP network
with fuzzy reasoning which replaced robust estimation and mixed fuzzy reasoning.
The main feature of this learning system is a simple algorithm constructed from
the following three parts: RBP learning algorithm, max-min fuzzy reasoning and
rain-max fuzzy reasoning. This learning system is applied to a target tracking problem.
The results of test show that this tracking system is more accurate and more
robust. |
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| Keywords: | BP network fuzzy reasoning robust estimator target tracking system |
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