Multisensors signal processing using ANFIS

Author

Roshchupkina, Nataliya ; Sachenko, Anatoliy ; Roshchupkin, Oleksiy ; Kochan, Volodymyr ; Smid, Radek

Author_Institution

Chernivtsi Nat. Univ., Chernivtsi, Ukraine

fYear

2013

fDate

12-14 Sept. 2013

Firstpage

315

Lastpage

318

Abstract

An improved algorithm of intelligent data processing by integrating the modified identification method of individual characteristic curve along with the adaptive neuro-fuzzy inference system (ANFIS) was proposed. The results of data prediction with training the ANFIS system and the different number of training epochs are described. The proposed approach provides the high accuracy of data prediction as well as low neural network training error.

Keywords

fuzzy neural nets; inference mechanisms; sensor fusion; ANFIS; adaptive neuro-fuzzy inference system; data prediction; individual characteristic curve; intelligent data processing; modified identification method; multisensor signal processing; neural network training error; Calibration; Educational institutions; Neural networks; Prediction algorithms; Sensors; Training; Vectors; Adaptive Neuro-Fuzzy Inference System; Calibration; Correction; Identification; Individual Characteristic Curve; Multisensor; Neural Network; Prediction;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on

Conference_Location

Berlin

Print_ISBN

978-1-4799-1426-5

Type

conf

DOI

10.1109/IDAACS.2013.6662696

Filename

6662696