【摘要】 水环境质量评价为水环境政策提供依据。目前用于水环境评价的方法众多,每一种方法都有其优缺点、适应性,其中,人工神经网络法是一种对生物体进行模仿的方法,该方法有着较强的学习能力,能处理水环境评价因子与评价标准之间非线性关系。本文主要介绍了人工神经网络法和基于此法改进的方法,并将其应用到河南海河流域部分河流断面的水质评价中,结果表明,该新方法可靠且具有实用性。更多还原

【Abstract】 The evaluation of water environment quality provides the basis for water environment policy.At present,there are many methods for water environment assessment.Each method has its advantages and disadvantages,its adaptability.Among them,artificial neural network method is a method of imitating organisms and has strong learning ability to deal with water Nonlinear relationship between environmental assessment factors and evaluation criteria.This paper introduces the artificial neural network method and the improved method based on this method,and applies this method to some river sections of Haihe River Basin in He’nan Province.The result is reliable and practical.更多还原