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

• 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:

  _unreg_tc7-2004.084

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 - 2 July 2004