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 socalled 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. © 2010, IGI Global.
Gomez Carracedo, M., Ballabio, D., Andrade, J., Fernandez Varela, R., Consonni, V. (2010). Applications of Self-Organizing Maps to address environmental studies. In M. Gestal, D. Rivero (a cura di), Soft-Computing Methods for practical environmental solutions: techniques and studies (pp. 332-353). Hershey (PA) : IGI Global [10.4018/978-1-61520-893-7.ch020].
Applications of Self-Organizing Maps to address environmental studies
BALLABIO, DAVIDE;CONSONNI, VIVIANA
2010
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 socalled 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. © 2010, IGI Global.
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