摘要
将人工神经网络的理论和方法运用于各类水环境的评价,建立水质评价的BP神经网络模型.运用MATLAB丰富的神经网络工具箱函数设计仿真程序,并对多个水质样本进行等级评价,为防治水污染提供了科学依据.
In this paper, the authors applied the theories and methods of the artificial neural network to the evaluation of different kinds of water environment and constructed a BP neural network model for water quality. Using the abundant neural network toolbox functions in MATLAB, the authors also designed simulation programs and obtained the water quality grades of some water samples, which provided scientific basis for water pollution prevention.
出处
《云南民族大学学报（自然科学版）》
CAS
2007年第2期165-167,共3页
Journal of Yunnan Minzu University:Natural Sciences Edition
