| 双机格斗仿真系统中的实时决策方法 |
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| 引用本文： | 韩亮,王行仁.双机格斗仿真系统中的实时决策方法[J].系统仿真学报,1997,9(1):27-33,,48,. |
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| 作者姓名： | 韩亮 王行仁 |
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| 作者单位： | 北京航空航天大学第三研究室 |
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| 摘 要： | 在双机格斗仿真系统中，数字仿真收音机的智能决策采用模糊逻辑与神经网络相结合的方法。为了把神经网络的规模限制在易于工程实现的程度，把战术规则适当分类，每一类战术存储在一个神经网络中，用模糊逻辑进行战术分类识别，确定在哪一类战术中搜索，然后用存储该类战术的神经网络进行了战术决策。
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| 关 键 词： | 双机格斗 战斗机 格斗训练 仿真系统 飞行模拟 |
Research of Fast Learning Algorithm for Neural Networks Based on DPF Approach |
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| Wang Yaonan.Research of Fast Learning Algorithm for Neural Networks Based on DPF Approach[J].Journal of System Simulation,1997,9(1):27-33,,48,. |
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| Authors: | Wang Yaonan |
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| Institution: | Wang Yaonan Department of Computer,East China Geological Institute,Jiangxi 344000 |
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| Abstract: | This paper presents a new learning algorithm for feedforward neural networks based on DPF least squares minimization approach.The simulation results show that,in most cases,the proposed algorithm has an order of magnitude faster convergence rate than that of the back propagation(BP). |
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| Keywords: | Neural networks\ Learning algorithm\ Simulation |
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