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首页> 外文期刊>Journal of information and computational science >Projection Pursuit Model of Risk Identification of Virtual Emergency Logistics Based on Particle Swarm Optimization Algorithm
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Projection Pursuit Model of Risk Identification of Virtual Emergency Logistics Based on Particle Swarm Optimization Algorithm

机译：基于粒子群算法的虚拟应急物流风险识别投影寻踪模型

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摘要

Analysis and identification of emergency logistics risk is complex system engineering. In order to improve the risk management of virtual emergency logistics, in this paper, combined with the special nature of virtual emergency logistics, it presents the risk analysis and identification model of virtual emergency logistics that is based on projection pursuit. On this basis, by introducing penalty function method, the paper presents a solution based on particle swarm optimization. Finally, this paper analyzes the scientific nature and rationality of the method, and then, it is compared with neural network. And the results show that projection pursuit model based on particle swarm optimization algorithm has high precision, which can be very good response to the laws of development of things, thus it is effective to improve the accuracy of analysis.
机译：分析和识别紧急物流风险是复杂的系统工程。为了提高虚拟应急物流的风险管理，结合虚拟应急物流的特殊性，提出了一种基于投影寻踪的虚拟应急物流风险分析与辨识模型。在此基础上，通过引入罚函数法，提出了一种基于粒子群算法的解决方案。最后，本文分析了该方法的科学性和合理性，然后与神经网络进行了比较。结果表明，基于粒子群优化算法的投影寻踪模型具有很高的精度，可以很好地响应事物的发展规律，有效地提高了分析的准确性。

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