The self-referential construction for computational intelligence processing in economics and finance

被引:0
|
作者
Ruan, JS [1 ]
Huang, YL [1 ]
机构
[1] Nankai Univ, Coll Math Sci, Tianjin 300071, Peoples R China
关键词
self-referential construction; embedding theorem; neural network; jackknife error estimation;
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
In the economical and financial fields a given object often has many indices related to it This frequently results in some complications and confusion in our understanding of the issues, but we nonetheless use all of these indices hoping to discover new knowledge or just to chow that some predictions can be made about the objects properties, By analyzing an actual example, this paper proposes a self-referential construction that acts in a manner similar to two parallel mirrors such that a person can see both the front and the back image in this minor combination The self-referential construction is not only mathematically described, bit also practically realized with an artificial intelligence algorithm. Thus, we hope that it will be widely used in many fields in addition to economics and finance.
引用
收藏
页码:887 / 890
页数:4
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