一种基于偏移率的模糊推理算法研究  

A Research of Fuzzy Reasoning Method Based on Moving Rate

作　　者：于秀丽[1] 王永玉[1] 

机构地区：[1]北京邮电大学世纪学院,北京102613

出　　处：《机电产品开发与创新》2011年第1期1-3,共3页Development & Innovation of Machinery & Electrical Products

摘　　要：针对模糊神经网络学习算法计算量过大的问题,在预测模型设计中,提出了一种基于偏移率的模糊推理算法。此模糊推理算法与现有的模糊推理方法相比,有较少的计算量,且满足其模糊凸性和正规性。Due to the computation of the fuzzy neural network learning algorithm oversized,a fuzzy reasoning algorithm based on moving rate is proposed in the forecast model design.This new method which compared with the existing fuzzy reasoning method has the few computation loads,and satisfies its fuzzy convexity and the normality.

关 键 词：偏移率 模糊神经网络 模糊推理 预测模型 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]