Simulation modeling of multi-parameter sensor signal identification using neural networks

2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings

Volumn 3, Issue , 2004, Pages 48-53

  Turchenko, Iryna V ^a  

^a TERNOPIL NATIONAL ECONOMIC UNIVERSITY   (Ukraine)

Author keywords

Multi parameter sensor; Neural networks; Sensor signal identification

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); DATA ACQUISITION; ERROR ANALYSIS; PARAMETER ESTIMATION; SENSITIVITY ANALYSIS; SENSORS; SIGNAL DETECTION;

MULTI-PARAMETER SENSOR; SENSOR SIGNAL IDENTIFICATION; SIGNAL IDENTIFICATION;

NEURAL NETWORKS;

EID: 8844232669     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. G. Samsonov, A. Kits, O. Kuzdeni, Sensors for temperature measurement in industry, Kiev: Naukova dumka, 1977, 223 p.
2. Tuz Yu, Structure methods of instrumentation accuracy improvement, Kiev: Vyshcha shkola, 1976, 255 p.
3. http://www.bibl.liu.se/liupubl/disp/disp99/tek573s.htm
4. J. Zakrzewski, W. Domanski, P. Chaitas and Th. Laopoulos, "Improving Sensitivity and Selectivity of SnO2 Gas Sensors by Temperature Variation", Proceedings of the second IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2003, Lviv, Ukraine, pp. 296-299.
5. V. Turchenko, V. Kochan, A. Sachenko, "Estimation of Computational Complexity of Sensor Accuracy Improvement Algorithm Based on Neural Networks", Lecture Notes in Computing Science, LNCS 2130, Ed. G. Dorffner, H. Bischof, and K. Hornik, Springer-Verlag, Berlin, Heidelberg, New York, 2001, pp. 743-748.
6. A. K. Jain, J. Mao, K. M. Mohiuddin, "Artificial neural networks: a tutorial", Computer, 1996, pp. 31-44.
7. M. T. Hagan and M. Menhaj, "Training feed-forward networks with the Marquardt algorithm", IEEE Transactions on Neural Networks, vol. 5, no. 6, pp. 989-993, 1994