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bp
- 基于人工神经网络误差反向传播BP的水质预测模型-Based on back propagation artificial neural network prediction model of water quality BP
c
- 一维水质模型，c语言源程序，主要应用于河流水质的模拟-One dimensional water quality model
T_S_anfis
- 本文研究了模糊系统和神经网络这两种人工智能方法的长处和短处，并将它们有机地结合在一起。将基于T-S模型的模糊神经网络应用于水质评价中，取得了较好的效果，为水质评价提供了一个新的方法。 -In this paper, fuzzy systems and neural network artificial intelligence methods both strengths and weaknesses, and they are organically combined. TS model
Q2Kv2_11b8
- 一维水质模型,可以用于水环境水质模拟,预测河流污染物分布及其负荷-One-dimensional water quality model can be used in the water environment, water quality simulation to predict the distribution of river pollutants and its load
fuzzynet
- 用Matlab实现的模糊神经网络模型，用于检测和评价水质情况，并进行预测，压缩包里包含了数据集和源程序。具体的应用可以根据用户的需求稍作更改，可用于分类。-Using Matlab fuzzy neural network model for the detection and evaluation of water quality, and to predict the compressed bundle contains the data sets and the source. Speci
FUZZY-FORECASTING
- 根据嘉临江水质的各项指标评价标准，通过一定的数学模型计算水质的水质等级。-According to jia each index of river water quality uation standard, by a certain mathematical model for calculation of the water quality of water quality grade.
sa
- 利用模拟退火法解决污染源识别，主要解决一维水质模型的溯源问题。(identification of pollutant source)