基于改进型PSO-BP神经网络算法的水质评价

Based on the improved PSO-BP neural network algorithm in the quality assessment of water environment

环境污染现在是大众所关注的一个重要的问题,需要拿出科学的方法和手段应对这个问题。文中提出了一种改进型的PSO-BP神经网络相结合的环境质量评价方法,以大理的洱海水域为例,选取了实际的水质监测数据作为样本,进行了系统的分析。通过对传统的BP神经网络法、PSO-BP神经网络和改进型PSO-BP算法三种方法应用结果的对比,本文得出改进的PSO-BP神经网络方法在相同精度下拥有更高的效率。

The pollution of environment is an important issue be concerned now,and we should come up with scientific methods to cope with this problem. This paper proposes a modified PSO-BP neural network algorithm combined with the method of environmental quality assessment. It chooses Erhai Dali as an example,selecting the monitoring data of water quality as sample and carrying on a series of analyses.Through the comparison to the results of three methods,which are the traditional BP neural network,PSO-BP neural network and the improved PSO-BP algorithm,it concluded that the improved PSO-BP algorithm can get higher efficiency under the same precision.