基于BP神经网络的大坝安全监测系统评价研究

Research on evaluating the dams safety monitoring system based on BP neural networks

大坝安全监测系统的评价是对一个DSMS系统的性能进行全面估计与测试,良好的评价可以促进系统设计目标的实现,提高运行效率。本文提出一种利用BP神经网络进行评价的方法,并且对神经网络的样本评价采用了AHP以及模糊评价的方法。该方法充分利用了模糊数学理论与神经网络方法,为大坝安全监测系统的评价提供了可行的途径。

The evaluation of the Dams Safety Monitoring System（DSMS） was for testing the capability of the DSMS. The result of the evaluation can promote to realize the function and improve the operating efficiency. In this paper, a method of evaluation based on BP neural networks was put forward, using the method of AHP and fuzzy mathematics to evaluate the sample of neural networks. As a new way of integrating fuzzy mathematics and neural networks, this method was provided effective and feasible way.