Title :
Recognition of Multi-Sensor Output Signal Using Modular Neural Networks Approach
Author :
Turchenko, Iryna ; Kochan, Volodymyr ; Sachenko, Anatoly
Author_Institution :
Ternopil State Econ. Univ., Ternopil
fDate :
Feb. 28 2006-March 4 2006
Abstract :
An approach of modular neural networks using for recognition of an output signal of multi-parameter sensor (MPS) is described in this paper. A simple mathematical model of MPS is presented. The structure schemes of single neural network and modular neural networks are designed. The experimental researches of both methods are fulfilled using MATLAB software, the comparison results are given in the end of the paper.
Keywords :
neural nets; sensor fusion; signal classification; MATLAB software; modular neural networks approach; multiparameter sensor; multisensor output signal recognition; sensor fusion; Data acquisition; Environmentally friendly manufacturing techniques; Gas detectors; Industrial pollution; MATLAB; Mathematical model; Monitoring; Multilayer perceptrons; Neural networks; Sensor phenomena and characterization; modular neural networks; multi-parameter sensor; recognition;
Conference_Titel :
Modern Problems of Radio Engineering, Telecommunications, and Computer Science, 2006. TCSET 2006. International Conference
Conference_Location :
Lviv-Slavsko
Print_ISBN :
966-553-507-2
DOI :
10.1109/TCSET.2006.4404480
