摘要
为了更好地对输油管道泄漏进行定位,对标准BP神经网络算法进行改进,使用增加动量项和学习速率自适应调整算法加速了收敛速度及避免了陷入局部极小值,选用改进后的BF神经网络对输油管道工况进行模式识别,确保了管道安全可靠地运行。
In order to more accurately locate oil pipeline leak,the standard BP neural network algorithm is improved,which uses the momentum term and adaptive learning rate adjustment algorithm to accelerate the convergence speed and avoid local mini ma,The pipeline working condition was diagnosed to identify by using improved BF neural network,which ensure reliable oper ation of the pipeline safety.
出处
《电脑知识与技术（过刊）》
2013年第3X期1885-1888,共4页
Computer Knowledge and Technology
关键词
BP神经网络
管道监控
泄漏定位
输油管道
BP neural network
pipeline monitoring
Leak Positioning
oil pipeline
