NEURAL NETWORK SYSTEM FOR WASTE-WATER RECOGNITION

Radek Kuchta, Radimir Vrba

2006

Abstract

This paper presents modern method of using neural network for waste-water recognition by using sensor array. Each sensor in sensor array detects chemicals in waste-water with different sensitivity. Set of measured data is digitized and recognized by a neural network. Measuring process doesn’t need any human operator. The result gives the only information: contaminated or not contaminated.

References

  1. Šnorek, M., Jirina, M.: Neuronové síte a neuropocítace. Praha, Vydavatelství CVUT 1996, ISBN 80-01- 01455-X
  2. Bíla, J.: Umelá inteligence a neuronové síte v aplikacích. Praha, Vydavatelství CVUT 1996, ISBN 80-01- 01275-1.
  3. Sincák, P., Andrejková, G.: Neurónové siete Inžiniersky prístup (1. diel). Košice, ELFA Press 1996, (in Slovak)
  4. Sincák, P., Andrejková, G.: Neurónové siete Inžiniersky prístup (2. diel. Košice, ELFA Press 1996, (in Slovak)
  5. Xiaobo, Z., Jiewen, Z., Shouyi, W., Xingyi, H.: Vinegar Classification Based on Feature Extraction and Selection From Tin Oxide Gas Sensor Array Data. International symposium on sensor science - I3S 2003, Paris (France), ISSN 1424-8220
  6. Gardner, J.W.; Bartelet, P.N.: Electronic nose: Principles and Applications. Oxford University Press 1999, 1-4, pp. 185-207
  7. Christophe, S. et al.: Potential of semiconductor sensor arrays for the origin Authentication of pure valencia orange Juices. Journal of Agricultural & Food Chemistry 2001, 49, pp. 3151-3160,
  8. Giuseppe, Z. et al.: Determination of organic acids, sugars, diacetyl, and action in cheese by high performance liquid chromatographic. Journal of Agricultural & Food Chemistry 2001, 49, ISSN 2722-2726, Sensors 2003, 3 109
  9. Vernat-Rossi, V., Garcia, C., Talon, R. et al.: Rapid discrimination of meat products and bacterial strains using semi-conductor gas sensors. Sensors and Actuators B 1996, 37, pp. 43-48.
  10. Vrba, R. et al.: ANTOPE Research of New Methods for Instrumental Analysis of Toxicity for Integral Measurement of Toxicity in Food Industry and Their Confirmation by a Prototype of Analyzer of the Toxicity of Pesticides. MPO FD 42K/253 R&D Project, Research Report, FEEC BUT and MPO, 2002
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Paper Citation


in Harvard Style

Kuchta R. and Vrba R. (2006). NEURAL NETWORK SYSTEM FOR WASTE-WATER RECOGNITION . In Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-972-8865-59-7, pages 199-202. DOI: 10.5220/0001208201990202


in Bibtex Style

@conference{icinco06,
author={Radek Kuchta and Radimir Vrba},
title={NEURAL NETWORK SYSTEM FOR WASTE-WATER RECOGNITION},
booktitle={Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2006},
pages={199-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001208201990202},
isbn={978-972-8865-59-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - NEURAL NETWORK SYSTEM FOR WASTE-WATER RECOGNITION
SN - 978-972-8865-59-7
AU - Kuchta R.
AU - Vrba R.
PY - 2006
SP - 199
EP - 202
DO - 10.5220/0001208201990202