ABSTRACT
The reluctance to fully comprehend environmental damage is maintained due to the lack of complete information and admitting that the contingencies that lead to these environmental changes may never be fully known. One way of obtaining conclusions from incomplete information is to identify the environmental rules and the general models. In this paper we describe an Artificial Neural Network (ANN) for the identification of environmental impacts. The ANN inputs have been condificated providing them a format for a better convergence. The results of this identification will be consistent with the Leopold and Battelle methods [1] for the Evaluation of Environmental Impacts (EEI). The impacts identified by the ANN will be incorporated into the group of hypotheses that the expert system EEIE [2] will work with to evaluate these impacts.
