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WATER QUALITY DATA PROCESSING USING FUZZY NEURAL NETWORKS AND KOHONEN SELF ORGANIZING MAPS

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.