| 基于改进BP神经网络的职业危害预警模型 |
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| 引用本文： | 杜燮祎,张敏,王颖,何玲玲,唐军军.基于改进BP神经网络的职业危害预警模型[J].中国安全生产科学技术,2009,5(5):63-66. |
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| 作者姓名： | 杜燮祎 张敏 王颖 何玲玲 唐军军 |
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| 作者单位： | 1. 中国疾病预防控制中心职业卫生与中毒控制所,北京,100050
2. 燕山大学计算机科学与工程系,秦皇岛,066004 |
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| 基金项目： | 国家"十一五"科技支撑计划"职业危害预防控制关键技术与装备研究"项目"高危职业危害监测预警与防治关键技术研究" |
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| 摘 要： | 高危作业职业危害的严重性迫切需要对此建立有效的预警机制。目前的预警方法无法对多种职业危害因素作出综合、系统的评价。本文采用改进的BP神经网络，对多种职业危害因素进行综合预警，该预警模型不受人为因素的影响，在误差允许范围内可实现准确的实时预测。
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| 关 键 词： | 职业危害 预警 神经网络 BP算法 |
The early warning model for occupational hazards based on improved BP neural network |
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| Institution: | DU Xie-yi , ZHANG Min , WANG Ying, HE Ling-ling, TANG Jun-jun ( 1. National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing 066004 ,China;2. Department of Computer Science and Engineering, Yanshan University, Qinhuangdao 066004, China) |
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| Abstract: | The ponderance of occupational hazards urgently needs early warning model. The present forecasts can not predict occupational hazards on many factors. Based on improved BP neural network, the occupational hazards with many factors were predicted. It showed that the model can make the forecast very well, not affected by manmade factors. |
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| Keywords: | occupational hazards early warning neural network BP algorithm |
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