Title :
Application of adaptive neuro-fuzzy inference systems for analyzing non-Gaussian signal
Author :
Chabaa, S. ; Zeroual, A. ; Antari, J.
Author_Institution :
Dept. of Phys., Cadi Ayyad Univ., Marrakesh, Morocco
Abstract :
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.
Keywords :
fuzzy neural nets; fuzzy reasoning; fuzzy set theory; fuzzy systems; mean square error methods; signal processing; statistical analysis; ANFIS; RMSE; adaptive neuro-fuzzy inference system; fuzzy set theory; nonGaussian signal analysis; statistical characteristics; third order moment method; Adaptive systems; Automatic control; Fuzzy logic; Fuzzy neural networks; Fuzzy reasoning; Fuzzy systems; Neural networks; Predictive models; Signal analysis; Signal processing; Adaptive neuro-fuzzy inference systems (ANFIS); Prediction; Tank noise; modeling;
Conference_Titel :
Multimedia Computing and Systems, 2009. ICMCS '09. International Conference on
Conference_Location :
Ouarzazate
Print_ISBN :
978-1-4244-3756-6
Electronic_ISBN :
978-1-4244-3757-3
DOI :
10.1109/MMCS.2009.5256668
