Prediction of monthly vehicle valorization/devaluation in Brazil with a MultiLayer Perceptron Regressor: a case study based on past sales, inflation, and interest rate
Abstract:This work presents a comparison between the valuation/depreciation prediction results (from one month to another) of vehicles in Brazil considering the combination of four groups of characteristics: i) previous sales; ii) the number of vehicle sales; iii) basic interest rate; and iv) national consumer price index. We create a comparison baseline training a MultiLayer Perceptron Regressor (MLPR) based only on the vehicle’s value in the previous month, and then we train the MLPR by combining the previous vehicle… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.