摘要
阐述了自适应模糊推理系统 ( Adaptive Network-based Fuzzy Inference System,ANFIS)网络 ,提出了水运货运量预测的 ANFIS网络预测模型 .以 MATLAB为工具 ,以 1 985～ 2 0 0 1年我国水运货运量为训练样本 ;2 0 0 2年我国水运货运量为校验样本 ,对网络进行训练后 ,预测了 2 0 0 3～2 0 1 0年我国水运货运量 .估算结果表明 ,同 BP神经网络模型相比 ,此模型具有更高的准确性 .
This paper first introduces the adaptive network-based fuzzy inference system(ANFIS),then presents a forecast model of ANFIS network and uses MATLAB toolbox to forecast the volume of water freight.After the network has been trained,the volume of water freight of China have been made from 2003 to 2010.The results show that the forecast model of ANFIS is accurate and feasible,and it can be applied to forecast the volume of water freight.
出处
《武汉理工大学学报（交通科学与工程版）》
北大核心
2004年第4期501-503,共3页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
