| 基于模糊神经网络的智能控制研究 |
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| 引用本文： | 徐鹏,熊一利.基于模糊神经网络的智能控制研究[J].适用技术之窗,2010(8):18-20. |
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| 作者姓名： | 徐鹏 熊一利 |
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| 作者单位： | 江西蓝天学院计算机系,江西南昌330029 |
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| 摘 要： | 模糊神经网络是一个新型的研究领域,随着人们对人工智能进行更深入、多层次的研究,使其在模糊控制、模糊决策、专家系统、模式识别等众多领域都发挥了重要作用。模糊控制的逻辑推理技术与神经网络的结合,将弥补神经网络在模糊数据处理方面的不足和纯模糊逻辑在学习方面的缺陷。
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| 关 键 词： | 神经网络 模糊控制 T-S模型 |
Research of Intelligent Control Based on Fuzzy Neural Networks |
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| Xu Peng Xiong Yili.Research of Intelligent Control Based on Fuzzy Neural Networks[J].Science & Technology Plaza,2010(8):18-20. |
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| Authors: | Xu Peng Xiong Yili |
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| Affiliation: | Xu Peng Xiong Yili(Department of Computer Science, Jiangxi BlueSky University, Jiangxi Nanchang 330029) |
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| Abstract: | Fuzzy neural network is a new research field, with greater depth and multi-level research of artificial intelligence, it played an important role in fuzzy control, fuzzy decision-making, expert systems, pattern recognition and other fields. Fuzzy logic control and neural network technology combined will make up neural network in fuzzy data processing and pure fuzzy logic in learning deficiencies. |
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| Keywords: | Neural Network Fuzzy Control T-S Model |
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