This study presents a review of biodegradability modeling efforts including a\r\ndetailed assessment of two models developed using an artificial intelligence based\r\nmethodology. Validation results for these models using an independent, quality reviewed\r\ndatabase, demonstrate that the models perform well when compared to another\r\ncommonly used biodegradability model, against the same data. The ability of models\r\ninduced by an artificial intelligence methodology to accommodate complex interactions\r\nin detailed systems, and the demonstrated reliability of the approach evaluated by this\r\nstudy, indicate that the methodology may have application in broadening the scope of\r\nbiodegradability models. Given adequate data for biodegradability of chemicals under\r\nenvironmental conditions, this may allow for the development of future models that\r\ninclude such things as surface interface impacts on biodegradability for example.
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