Classification of Geomembranes as Raw Material for Defects Reduction in the Manufacture of Biodigesters Using an Artificial Neuronal Network

Recently, biodigesters have attracted much attention as an efficient alternative for energy generation and organic waste treatment. The final performance of a biodigester depends heavily on the quality its building process selection raw material: geomembrane. geomembrane is coat that covers used to control migration fluids. Therefore, proper geomembrane, in terms thickness, resistance, flexibility, etc., fundamental. Unfortunately, there are no studies geomembranes, usually, it empirical performed by workers based their own experience. Such might be inaccurate, limited, inconvenient, even dangerous. In order assist during biodigester, this study proposes use Artificial Neural Network (ANN) classify appropriate or not manufacture biodigester. ANN trained with database built from qualitative quantitative evaluations different characteristics geomembranes. results indicate proposed classifies most suitable geomembranes 99.9% success rate. becomes reliable tool contributes safety