| 基于改进的新型神经网络在煤矿企业安全管理中的应用 |
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| 引用本文： | 赵飞,王则胜.基于改进的新型神经网络在煤矿企业安全管理中的应用[J].煤炭技术,2011,30(4). |
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| 作者姓名： | 赵飞 王则胜 |
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| 作者单位： | 1. 江苏大学,安全工程系,江苏,镇江,212003
2. 镇江船艇学院,江苏,镇江,212003 |
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| 摘 要： | 针对煤矿企业生产过程中安全生产状况的模糊性、多因素性等特点,利用Levenberg-Mrquardt优化算法改进BP神经网络并对其进行训练和仿真。并与标准BP算法和动量BP算法进行比较,发现经过改进的网络比标准BP算法和动量BP算法具有更好的效果。
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| 关 键 词： | Levenberg-Mrquardt算法 神经网络 安全管理 煤矿企业 |
Application of Improved New Neural Network Based in Safety Management of Coal Enterprised |
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| ZHAO Fei,WANG Ze-sheng.Application of Improved New Neural Network Based in Safety Management of Coal Enterprised[J].Coal Technology,2011,30(4). |
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| Authors: | ZHAO Fei WANG Ze-sheng |
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| Affiliation: | ZHAO Fei1,WANG Ze-sheng2(1.Department of Safety Engineering,Jiangsu University,Zhengjiang 212003,China,2.Zhenjiang Watercraft College of PLA,Zhenjiang 212003,China) |
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| Abstract: | According to Fuzzy and multifactorial characteristics of safety production status in chemical enterprises,the auther improved BP neural network and trained and simulated it by using Levenberg-Marquardt optimization algorithm.The auther found the improved BP neural network was better effect the standard BP algorithm and the momentum BP algorithm by comparing the standard BP algorithm and the momentum BP algorithm with the improved BP neural network.The improved BP neural network has better effectiveness for ... |
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| Keywords: | levenberg-marquardt algorithm neural network safety management coal enterprises |
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