摘要
自适应神经网络模糊系统在建立对象输入和输出关系时 ,与传统的数学方法不同 ,它是基于数据的建模 .本文利用这一系统特性 ,建立了道路交通事故损失与交通事故次数、死亡人数和受伤人数之间的关系 ,提出了自适应神经网络模糊系统预测道路交通事故损失的方法 。
Adaptive neural-fuzzy inference system (ANFIS) is different from the traditional mathematical method when constructing input-output relationship. The relationship is constructed between the accident loss and the accident number deaths and wounds, and the prediction method of road traffic accident loss using adaptive neural-fuzzy inference system is proposed, which is new in predicting traffic accidents.
出处
《昆明理工大学学报（理工版）》
CAS
2004年第2期126-128,135,共4页
Journal of Kunming University of Science and Technology(Natural Science Edition)
