| RBF神经网络在智能红外检测报警中的应用 |
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| 引用本文： | 张晓兰,徐跃峰.RBF神经网络在智能红外检测报警中的应用[J].计算机应用与软件,2007,24(2):187-188,191. |
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| 作者姓名： | 张晓兰 徐跃峰 |
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| 作者单位： | 哈尔滨商业大学计算机与信息工程学院,黑龙江,哈尔滨,150028 |
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| 摘 要： | 应用径向基函数(RBF)神经网络解决红外检测报警产品的误报、错报问题,在传统的0/1报警模式输出的基础上,增加了主动式预警信号输出的功能.通过对K-means聚类法和梯度训练法两种RBF神经网络应用于红外栅栏的仿真结果表明,K-means聚类法的RBF网络的精确度高、执行速度快,它能提高报警的精确率,满足实际应用需要.
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| 关 键 词： | K-means聚类 梯度训练法 径向基网络 红外栅栏 神经网络 智能 红外栅栏 检测报警 网络应用 DEVICES ALARM DETECT INFRARED INTELLIGENT RBF NEURAL NETWORK 精确率 执行速度 精确度 仿真结果 训练法 梯度 聚类法 功能 信号输出 |
| 修稿时间： | 2005-12-31 |
APPLICATION OF RBF NEURAL NETWORK IN INTELLIGENT INFRARED DETECT AND ALARM DEVICES |
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| Zhang Xiaolan,Xu Yuefeng.APPLICATION OF RBF NEURAL NETWORK IN INTELLIGENT INFRARED DETECT AND ALARM DEVICES[J].Computer Applications and Software,2007,24(2):187-188,191. |
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| Authors: | Zhang Xiaolan Xu Yuefeng |
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| Affiliation: | School of Computer and Information Engineering, Harbin University of Commerce, Harbin Heilongiiang 150028, China |
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| Abstract: | Application of a radial basis function(RBF)neural network is a method to resolve the problem of the misstatements or omissions in infrared detector.And the function of a active alarm signal output is added,which is based on traditional 0/1 model output.As a result,by simulation experiments of using K-means and steepest descent in infrared hurdle,RBF neural network learning algorithm based on K-means has high precision and rapid execution,and it can meet practical needs. |
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| Keywords: | K-means Steepest descent RBF neural network Infrared hurdle |
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