张霞, 吴世达, 陈健, 宁勇, 于威威, 卢伟. 基于反向传播神经网络的化工项目职业病危害评价的方法研究[J]. 环境与职业医学, 2011, 28(1): 43-46.
引用本文: 张霞, 吴世达, 陈健, 宁勇, 于威威, 卢伟. 基于反向传播神经网络的化工项目职业病危害评价的方法研究[J]. 环境与职业医学, 2011, 28(1): 43-46.
ZHANG Xia , WU Shi-da , CHEN Jian , NING Yong , YU Wei-wei , LU Wei . Quantitative Assessment Method for Occupational Hazards in Chemical Projects Based on Back Propagation Neural Network[J]. Journal of Environmental and Occupational Medicine, 2011, 28(1): 43-46.
Citation: ZHANG Xia , WU Shi-da , CHEN Jian , NING Yong , YU Wei-wei , LU Wei . Quantitative Assessment Method for Occupational Hazards in Chemical Projects Based on Back Propagation Neural Network[J]. Journal of Environmental and Occupational Medicine, 2011, 28(1): 43-46.

基于反向传播神经网络的化工项目职业病危害评价的方法研究

Quantitative Assessment Method for Occupational Hazards in Chemical Projects Based on Back Propagation Neural Network

  • 摘要: 目的 建立一种基于反向传播(back propagation,BP)神经网络的化工行业职业病危害综合定量评价方法。

    方法 在全面分析化工项目职业卫生状况影响因素的基础上,建立包含11项指标的综合评价指标体系,并实现了指标的量化。收集本市23家石油化工类建设项目的相关资料,其中18组作为训练样本对神经网络进行训练,建立BP神经网络模型。

    结果 5组作为测试样本,输入训练好的神经网络模型中进行测试,结果与专家评估结果相符,正确率100%。

    结论 本研究所建立的多指标综合定量评价的神经网络模型可用于定量评价化工项目的职业病危害风险,为职业病危害风险评估法的研究提供了一种新的思路,为化工项目的分级管理和风险控制提供了有效的途径。

     

    Abstract: Objective To establish a comprehensive quantitative assessment method for occupational hazard based on back propagation (BP)neural network.

    Methods A comprehensive assessment index system containing 11 indicators was established after analyzing the key factors of occupational health status in chemical industry. The indicators were graded. Twenty-three samples of chemical projects in the city were collected, of which 18 samples were used to train the neural network and established a BP neural network model.

    Results Five samples were used as test samples and fed into the input layer of the trained neural network. Furthermore, the output results of the 5 test samples showed good coincidence with the results rated by experts (100% correct).

    Conclusion The neural network model can be used for quantitative assessment of occupational risk in chemical projects. The developed method provides new ideas in risk assessment of occupational hazard and an effective way for ranking management and risk control in chemical projects.

     

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