Ensemble neural networks with fuzzy logic integration for complex time series prediction

被引：6

作者：

Pulido, Martha ^{[1
]}

Mancilla, Alejandra ^{[1
]}

Melin, Patricia ^{[1
]}

机构：

[1] Tijuana Inst Technol, Calzada Tecnol S-N, Tijuana 22379, Mexico

来源：

INTERNATIONAL JOURNAL OF INTELLIGENT ENGINEERING INFORMATICS | 2010年 / 1卷 / 01期

关键词：

ensemble neural model; fuzzy logic; time series prediction;

D O I：

10.1504/IJIEI.2010.033531

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper the application of an ensemble neural network model for complex time series prediction is presented. The Mackey-Glass time series is considered for testing the ensemble model. Simulation results of the ensemble neural network and its integration with the methods of average, weighted average and fuzzy integration are presented. Simulation results show very good prediction of the ensemble neural network with the method of fuzzy integration.

引用

页码：89 / 103

页数：15

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