Optimization of Type-2 Fuzzy Integration in Ensemble Neural Networks for Predicting the US Dolar/MX Pesos Time Series

被引:0
|
作者
Pulido, Martha [1 ]
Melin, Patricia [1 ]
Castillo, Oscar [1 ]
机构
[1] Tijuana Inst Technol, Tijuana Bc, Mexico
关键词
Ensemble Neural Networks; Genetic Algorithms; Optimization; Time Series Prediction; SYSTEMS; LOGIC;
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
This paper describes the optimization of an ensemble neural network with fuzzy integration of responses based on type-1 and type-2 fuzzy logic. Genetic algorithms are used as method of optimization in this case. The time series that is being considered for the ensemble is the US Dollar/MX Peso exchange rate. Simulation results show that the ensemble approach produces good prediction of the exchange rate US Dollar/MX Peso.
引用
收藏
页码:1508 / 1512
页数:5
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