| 火灾探测模糊神经网络的层次结构 |
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| 引用本文： | 张迎辉,庞伟正. 火灾探测模糊神经网络的层次结构[J]. 信息技术, 2006, 30(11): 77-79 |
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| 作者姓名： | 张迎辉 庞伟正 |
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| 作者单位： | 哈尔滨工程大学信息与通信工程学院,哈尔滨,150001 |
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| 摘 要： | 应用多层次前馈网络构造模糊变量隶属度函数和模糊推理控制模型，使神经网络不再表现为黑箱式映射，其所有节点和参数都具有模糊系统等价意义。将模糊规则与隶属度函数用神经网络表现出来。利用神经网络的自学习特性，实现隶属度函数和模糊规则的自动提取，可优化调整隶属度函数，同时模糊系统也弥补了神经网络运算速度慢的缺点。
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| 关 键 词： | 模糊系统 神经网络 层次结构 火灾探测 |
| 文章编号： | 1009-2552(2006)11-0077-02 |
| 修稿时间： | 2006-06-13 |
Fire detection fuzzy neural network hiberarchy |
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| ZHANG Ying-hui,PANG Wei-zheng. Fire detection fuzzy neural network hiberarchy[J]. Information Technology, 2006, 30(11): 77-79 |
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| Authors: | ZHANG Ying-hui PANG Wei-zheng |
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| Abstract: | The application of fuzzy neural network in fire detection can exert the characteristic in common of the fuzzy system and the neural network.When the fuzzy system is combined with neural network,fuzzy rules and subjection function can be exhibited by the neural network and be picked up through self-study trait of neural network.Moreover,fuzzy system can also make up the shortcoming of slow operational rate of the neural network. |
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| Keywords: | fuzzy system neural network hiberarchy fire detection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
