| RBF神经网络和均匀设计在塔式起重机安全状态模式识别中的应用 |
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| 引用本文： | 郑夕健,何劝云,费烨. RBF神经网络和均匀设计在塔式起重机安全状态模式识别中的应用[J]. 机械设计与制造, 2005, 0(1): 78-80 |
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| 作者姓名： | 郑夕健 何劝云 费烨 |
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| 作者单位： | 1. 东北大学,机械工程与自动化学院,沈阳,110004;沈阳建筑大学,沈阳,110168
2. 沈阳建筑大学,沈阳,110168 |
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| 基金项目： | 辽宁省自然科学基金资助项目(20022035)，建设部科技攻关项目(03-2-041) |
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| 摘 要： | 对径向基函数(RBF)神经网络的分类能力进行了分析，在塔式起重机安全状态模糊综合评判的基础上，构建了反映塔机状态参数与整机安全状态类别间映射关系的径向基函数网络，利用均匀设计给出训练样本对，并进行了实例计算，结果表明该方法可行有效。
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| 关 键 词： | RBF神经网络 均匀设计 塔式起重机安全状态 模式识别 |
| 文章编号： | 1001-3997(2005)01-0078-02 |
| 修稿时间： | 2004-07-16 |
The safety state model identification of tower crane based on RBF neural network and uniform design |
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| ZHENG Xi-jian,HE Quan-yun,FEI Ye. The safety state model identification of tower crane based on RBF neural network and uniform design[J]. Machinery Design & Manufacture, 2005, 0(1): 78-80 |
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| Authors: | ZHENG Xi-jian HE Quan-yun FEI Ye |
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| Affiliation: | ZHENG Xi-jian1,2,HE Quan-yun2,FEI Ye2 |
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| Abstract: | The classify ability of RBF neural network was analyzed. A RB F neural network was established which reflects mapped relationships of the stat e parameters of tower crane and the whole machinery work state class based on th e fuzzy synthesis judgment on tower crane safety state. The train samples using uniform design method was given out and an example was calculated. The results a pproved that the method is feasible and practical. |
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| Keywords: | RBF neural network Uniform design Safety state Tower crane Model identification |
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