| 人工神经元网络在安全事故趋势预测中的应用 |
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| 引用本文： | 王学斌,陈全.人工神经元网络在安全事故趋势预测中的应用[J].天津理工大学学报,2011,27(3):81-83. |
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| 作者姓名： | 王学斌 陈全 |
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| 作者单位： | 1. 天津理工大学环境科学与安全工程学院,天津,300384
2. 天津理工大学环境科学与安全工程学院，天津300384；方圆标志认证集团，北京100048 |
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| 摘 要： | 安全事故的发生有着一定的随机性,因此如何有效利用有限的资源来防止安全事故的发生和完善救援措施一直是一个难题.但长期的研究工作表明安全事故的发生也存在着一定规律,正确的认识这些规律对企业的安全管理具有重要意义.人工神经元网络(ANN)在理论上能够无限的逼近任何非线性函数,同时又较强的适应性和抗干扰能力.适合解决事故预测这类的问题.
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| 关 键 词： | 人工神经网络 安全事故 趋势预测 |
The application of artificial neural network in forecasting the trend of safety accidents |
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| WANG Xue-bin,CHEN Quan.The application of artificial neural network in forecasting the trend of safety accidents[J].Journal of Tianjin University of Technology,2011,27(3):81-83. |
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| Authors: | WANG Xue-bin CHEN Quan |
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| Institution: | 1,2(1.School of Environmental Science and Safety Engineering,Tianjin University of Technology,Tianjin 300384,China;2.China Quality Mark Certification Group,Beijing 100048,China) |
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| Abstract: | The occurrence of safety accidents is with strong randomness.This brings up the question of how to effectively use the limited resource to prevent accidents and improve the safety of rescue measures.But the long-term research shows that safety accidents have some laws.To grasp these laws is of great importance to the security management for enterprise.Artificial neural network(ANN) may carry on the free precision to any nonlinear function in theory with strong adaptability and robust that make artificial neural network fit for dealing with accident trend forecast. |
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| Keywords: | artificial neural network safety accidents trend forecast |
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