摘要
把低温影响下的COD试验数据用灰色理论中的累加方法进行累加,可以使一组没有规律的数据成为一条光滑的曲线,然后利用人工神经网络和自适应模糊推理系统两种方法进行预测,算例的结果表明用一次累加后的数列预测精度较高。
With the method of accumulation in gray theory,a group of experiment data of COD are accumulated several times,then the series data becomes a smooth curve.The neural network and the adaptive network fuzzy inference system (ANFIS) are determined by the curve and estimated the value of COD in further.Finally samples showed the exactitude and efficiency in the method.
出处
《焊接技术》
北大核心
2005年第4期7-8,共2页
Welding Technology
基金
上海市教科委基金项目(04NE31)
关键词
人工神经网络
自适应模糊推理系统
灰色理论
预测
neural network,the adaptive network fuzzy inference system (ANFIS),gray theory,estimation
