摘要
强风是最常发生的影响高速列车行车安全的灾害,我国在强风预警监测方面尚处于试验和积累经验的初步阶段,尤其是强风灾害的预警算法还没有得到很好的解决。基于专家系统和BP神经网络的强风灾害预警算法是一种新的思路,这里通过分析其原理和技术要点,并通过实例验证算法的可行性,为探索强风灾害预警算法提供了有益的尝试。
Strong wind is the most frequent weather disaster which impacts the safety of high speed train.The wind disaster monitoring system is critical to ensure the safety of train and is still in the pilot study period.Especially,there is no final solution to provide precise wind speed prediction.The algorithm for wind speed prediction based on expert system and neural network is a new approach.Hereunder is the analysis of the principles and key points of this algorithm,along with the testing result.
出处
《实验技术与管理》
CAS
北大核心
2010年第3期97-99,共3页
Experimental Technology and Management
关键词
高速铁路
风速预警
专家系统
BP神经网络
high speed railway
wind speed prediction
expert system
BP neural network
