Applying A Hibrid System With Neural Networks To Represent The Human Dimension In Environment Projects: A Case Study In An Amazon Community

Título: Applying A Hibrid System With Neural Networks To Represent The Human Dimension In Environment Projects: A Case Study In An Amazon Community

Autores: Sousa, Rômulo M. de; Silveira, Antonio M. da; Limão, Roberto C.; Ravena, Nirvia

Resumo: This paper presents the results achieved by an application of Computational Intelligence technique in an Environmental and Social research activity in an innovative initiative, using a computational model formed by two Artificial Neural Networks (ANN) of distinct intentions to construct an environmental indicator and a characteristics map, to assist researchers and decision makers in the analysis of human intervention, through the measurement of the capacity to conserve the environment of a Amazonian community. The use of this computational model distinguishes itself in relation to the classic mathematical models, because it extracts the cognitive perceptions reached by researchers during the process of field research, avoiding distortions of the reality.

Palavras-chave: Artificial Neural Network; Kohonen Neural Network; Self-Organization Map; Environment; Sustainable Development; Environment and Social Analysis

Páginas: 5

Código DOI: 10.21528/CBIC2011-33.4

Artigo em pdf: st_33.4.pdf

Arquivo BibTex: st_33.4.bib