The outputs generated by the Self-Organizing Maps (SOM) and Feed Forward Neural Networks (FFNN) related to the taxonomy and the model have been used, in the present study, to analyze and classify the SECOA territories and conflicts in a systematic and comparative way. An attempt has been made to interpret the SECOA realities. The present chapter provides an overview of the achieved results. A classification of the SECOA territories is provided, followed by a classification of the SECOA conflicts. Then, territories and conflicts are interpreted simultaneously and comparatively.

SECOA territories and processes: an attempt of conflicts’ interpretation / Staniscia, Barbara. - (2013), pp. 369-383. [10.13133/978-88-98533-01-5].

SECOA territories and processes: an attempt of conflicts’ interpretation

STANISCIA, BARBARA
2013

Abstract

The outputs generated by the Self-Organizing Maps (SOM) and Feed Forward Neural Networks (FFNN) related to the taxonomy and the model have been used, in the present study, to analyze and classify the SECOA territories and conflicts in a systematic and comparative way. An attempt has been made to interpret the SECOA realities. The present chapter provides an overview of the achieved results. A classification of the SECOA territories is provided, followed by a classification of the SECOA conflicts. Then, territories and conflicts are interpreted simultaneously and comparatively.
2013
Urban Coastal Area Conflicts Analysis Methodology. Human Mobility, Climate Change and Local Sustainable Development
978-88-98533-01-5
environmental conflicts; taxonomy; SOM; FFNN
02 Pubblicazione su volume::02a Capitolo o Articolo
SECOA territories and processes: an attempt of conflicts’ interpretation / Staniscia, Barbara. - (2013), pp. 369-383. [10.13133/978-88-98533-01-5].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/746626
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