| 基于RBF网络的火灾探测信号处理算法研究 |
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| 引用本文： | 张春生,赵云胜,卢颖,叶彬.基于RBF网络的火灾探测信号处理算法研究[J].安全与环境工程,2010,17(6). |
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| 作者姓名： | 张春生 赵云胜 卢颖 叶彬 |
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| 作者单位： | 中国地质大学工程学院,武汉,430074 |
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| 摘 要： | 本文通过建立火灾探测信号处理的RBF网络模型,并与通常的BP网络模型和期望结果进行对比,结果表明:在进行火灾探测信号处理中,RBF网络可避免BP网络的局部极小以及收敛速度慢等缺点,在精度、训练速度等方面均优于BP网络。该研究为处理火灾探测信号等非结构问题提供了一种行之有效的方法。
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| 关 键 词： | 火灾探测 信号处理 算法 径向基函数 人工神经网络 |
Signal Processing Algorithm for Fire Detection Based upon RBF Neural Network |
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| ZHANG Chun-sheng,ZHAO Yun-sheng,LU Ying,YE Bin.Signal Processing Algorithm for Fire Detection Based upon RBF Neural Network[J].Safety and Environmental Engineering,2010,17(6). |
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| Authors: | ZHANG Chun-sheng ZHAO Yun-sheng LU Ying YE Bin |
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| Institution: | ZHANG Chun-sheng,ZHAO Yun-sheng,LU Ying,YE Bin(Faculty of Engineering,China University of Geosciences,Wuhan 430074,China) |
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| Abstract: | A radial basis function(RBF) neural network model for the data processing technique of the recognition of fire smoke signal is established.The signal processing model based on radial basis function network is studied through experimental data and verified by additional data successfully.This paper also compares another network model based on back propagation network with the RBF model.The results show that the radial basis function network is much better than back propagation network in accuracy and trainin... |
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| Keywords: | fire detection signal processing algorithm RBF artificial neural network |
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