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Applications of Self-Organizing Maps to Address Environmental Studies
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Author(s): M. P. Gómez-Carracedo (University of A Coruña, Spain), D. Ballabio (University of Milano-Bicocca, Italy), J. M. Andrade (University of A Coruña, Spain), R. Fernández-Varela (University of A Coruña, Spain)and V. Consonni (University of Milano-Bicocca, Italy)
Copyright: 2010
Pages: 22
Source title:
Soft Computing Methods for Practical Environment Solutions: Techniques and Studies
Source Author(s)/Editor(s): Marcos Gestal Pose (University of A Coruna, Spain)and Daniel Rivero Cebrián (University of A Coruna, Spain)
DOI: 10.4018/978-1-61520-893-7.ch020
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Abstract
An overview on the basic principles of Kohonen Self-Organizing Maps (SOMs), Counter-Propagation Artificial Neural Networks (i.e., a SOM with a supervised layer, called the Grossberg layer) and the so-called MOLecular Map of Atom-level Properties (MOLMAP) and their usefulness in analytical chemistry, particularly in the environmental field, was presented. Two case studies dealing with environmental studies of soil pollution by road traffic and sea pollution by spilled hydrocarbons were discussed in detail to exemplify different benefits derived from the use of these techniques.
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