Title :
Multisensors signal processing using ANFIS
Author :
Roshchupkina, Nataliya ; Sachenko, Anatoliy ; Roshchupkin, Oleksiy ; Kochan, Volodymyr ; Smid, Radek
Author_Institution :
Chernivtsi Nat. Univ., Chernivtsi, Ukraine
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;
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
DOI :
10.1109/IDAACS.2013.6662696
