摘要
针对数据挖掘问题,将直觉模糊集与神经网络理论相结合,提出一种新的方法。用自适应直觉模糊推理的方法来解决数据挖掘问题,该方法可以根据直觉模糊神经网络本身的自适应学习能力来调节网络参数,自动生成规则库。最后通过一个仿真实例证明了该方法的有效性。
A new method was proposed for data mining problem which integrated intuitionistic fuzzy set and neural network theory.This article solved the data mining problem with the method of adaptive intuitionistic fuzzy inference.This method can adjust network variables by use of intuitionistic neural network＇s adaptive learning function,and generate rules bank automatically.Finally,this method was validated by simulation.
出处
《计算机应用》
CSCD
北大核心
2010年第4期1089-1092,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(60773209)
关键词
直觉模糊推理
神经网络
自适应
训练
规则
intuitionistic fuzzy inference
neural network
adaptive
train
rule
