A technical concept, "reverse source quantity", based on artificial neural network, has been pointed out in order to carry out a numerical dynamic simulation on hydrocarbon diffusion process.
前言：提出实现烃类重气泄散态势的动态过程数值预测新构想———基于人工神经网络的“反求源”技术。
As is known to all, it, so far, has been important project for people to realize real-time monitoring by dynamic forecast inaccidental diffusion process of Liquefied hydrocarbon.
烃类危险源事故性泄漏过程的实时预测与预警技术一直是工业安全工程领域重要的研究课题。
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