基于模糊推理系统的非线性组合建模与预测方法研究(英文)

被引:5
作者
董景荣
机构
[1] 重庆师范学院数学与计算机科学系!重庆
关键词
非线性组合预测; 模糊推理系统; 学习自动机层次结构;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
基于模糊推理系统在紧支集中能够逼近任意非线性连续函数的特性 ,提出了一种基于Takagi sugeno模糊规则基的非线性组合建模与预测新方法 ,以克服线性组合预测方法在解决非平衡时间序列组合建模问题所遇到的困难和存在的不足 ,并给出了相应的基于学习自动机层次结构的优化算法确定模糊系统的参数和模糊子集的划分 ,理论分析和大量的经济预测实例表明 :该方法具有很强的学习与泛化能力 ,在处理诸如经济时间序列这种具有一定程度不确定性的非线性系统组合建模与预测方法有很好的应用 .
引用
收藏
页码:369 / 374
页数:6
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