WATER QUALITY DATA PROCESSING USING FUZZY NEURAL NETWORKS AND KOHONEN SELF ORGANIZING MAPS |
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| O. Postolache, J. M. Dias Pereira, P. Girão, H. G. Ramos |
- Abstract:
- This paper is about different techniques for intelligent processing of data obtained with water quality monitoring distributed systems. The techniques include a set of fuzzy neural networks (FuNNs) for modelling measuring channels and Kohonen Self Organizing Maps (K-SOMs) for information classification. Elements of FuNN and K-SOM optimization in terms of architecture and training are presented and briefly discussed.
- Keywords:
- neural network, water quality, sensor modelling, self organizing maps
- Download:
- IMEKO-TC7-2004-084.pdf
- DOI:
- -
- Event details
- IMEKO TC:
- TC7
- Event name:
- TC7 Symposium 2004
- Title:
10th Symposium on Advances of Measurement Science
- Place:
- St. Petersburg, RUSSIA
- Time:
- 30 June 2004 - 02 July 2004