Environmental Data Mining and Self Organizing Maps Anonymous | 1.10.2009 | Developing Project (updated on 3.28.2011) | Print Preview
Self Organizing Maps (SOMs) can be used to highlight, by means of their visualization capabilities, interesting correlations between variables for several monitoring campaigns. These correlations allow choosing suitable inputs to carry out estimation. SOM neural network provides useful information by selecting interesting combinations of process variables and extracting knowledge contained in multi-dimensional data. In this project, we are exploring the possible usage of SOMs for Water Quality data sets.