APLICAÇÃO DE REDES NEURAIS ARTIFICIAIS NA IDENTIFICAÇ ÃO DE GASOLINAS ADULTERADAS COMERCIALIZADAS NA REGIÃO DE LONDRINA - PARAN

Abstract

The multilayer perceptron network was used to classify the gasoline. The main parameters used in the classification were established by the Ordinance n° 309 of the Agência Nacional do Petróleo, but without informing the network the legal limits of these parameters. The network used had 10 neurons in a single hidden layer, learning rate of 0.04 and 250 training epochs. The application of artificial neural network served classify 100% of the commercialized gas in the region of Londrina-PR and to identify the tampered gasoline even those suspected of tampering.