Application of Adaptive Neuro-Fuzzy Inference Systems for Analyzing non-Gaussian Signal

被引：1
|
作者：
Chabaa, S. [1 ]
Zeroual, A. [1 ]
Antari, J. [1 ]
机构：
[1] Cadi Ayyad Univ, Fac Sci Semlalia, Dept Phys, Elect & Instrumentat Lab, Marrakech 40001, Morocco
来源：
2009 INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS (ICMCS 2009) | 2009年
关键词：
Adaptive neuro-fuzzy inference systems (ANFIS); Tank noise; modeling; Prediction; IDENTIFICATION; ANFIS;
D O I：
10.1109/MMCS.2009.5256668
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we developed a model based on the adaptive neuro-fuzzy inference systems (ANFIS) for analyzing a real non Gaussian process. The obtained results show that the generated values using ANFIS techniques have similar statistical characteristics as real data. Additionally, the developed model fits well real data and can be used for predicting purpose. Compared with existing model obtained by third order moment (TOM) method, our model has better prediction accuracy.
引用
收藏
页码：377 / 380
页数：4
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