| 基于神经网络的重大危险源分级研究 |
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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分级研究[J].中国安全科学学报,1996(Z1). |
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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 |
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| 摘 要： | 利用人工种经网络系统理论，对重大危险源进行分级研究，介绍了危险源分级网络系统的结构、学习过程和分级方法，并在计算机上进行网络实现与模拟。实例结果表明，利用神经网络方法对重大危险源进行分级是合理可行的，具有一定的实用价值。
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| 关 键 词： | 神经网络，重大危险源，分级方法 |
STUDY ON GRADATION OFMAJOR HAZARDS BASED ON NEURAL NETWORK |
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| Zhong Maohua, Chen Baozhi.STUDY ON GRADATION OFMAJOR HAZARDS BASED ON NEURAL NETWORK[J].China Safety Science Journal,1996(Z1). |
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| Authors: | Zhong Maohua Chen Baozhi |
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| Abstract: | ased on the artificial neural network (ANN), major hazards were graded. The structure,theself-- learning procedure and gradation method, which were simulated on a computer based onneural network,were introduced. The results of the simulation proved that ANN was feasible andreliable to grade major hazards and valuable to practical use. |
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| Keywords: | : Neural network Major hazards Gradation method |
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