| 基于神经网络的重大危险源动态分级研究 |
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| 引用本文： | 钟茂华,陈宝智.基于神经网络的重大危险源动态分级研究[J].中国安全科学学报,1997,7(2):6-9,22. |
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| 作者姓名： | 钟茂华 陈宝智 |
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| 作者单位： | 东北大学!沈阳市东北大学资源与土木工程学院110006 |
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| 摘 要： | 利用自组织神经网络对重大危险源进行动态分级研究，介绍了神经网络的模式聚类即分级法的自组织学习过程和算法，克服了以往危险源分级方法的某些局限性。在计算机上进行的模拟计算表明：基于自组织神经网络的重大危险源动态分级方法是合理可行的
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| 关 键 词： | 自组织神经网络 重大危险源 动态分级 |
Study in Dynamic Risk Classification of Major Hazards Based on Neural Networks |
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| Zhong MaohuaDr.,Chen BaozhiProf..Study in Dynamic Risk Classification of Major Hazards Based on Neural Networks[J].China Safety Science Journal,1997,7(2):6-9,22. |
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| Authors: | Zhong MaohuaDr Chen BaozhiProf |
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| Institution: | Northeast University |
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| Abstract: | By Using self-organized neural network, so called Adaptive Resonance Theory(ART),the dynamic risk classification of major hazards was studied,at the same time the process and algorithm of the dynamic classification method were introduced,by which some shortcomings of traditional means by fixed risk grades were overcome.The method has been simulated on a computer,the results showed that the method is rational and feasible. |
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| Keywords: | ART(Adaptive Resonance Theory) neural network Major hazards Dynamic classification |
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