Application of artificial neural networks in the identification of tampered gasoline commercialized in the region of Londrina - Paraná

Bona Evandro; Borsato Dionísio; Dias Gabriel Henrique; Moreira Ivanira; Moreira Mariete Barbosa; Nobrega Marcelo Medre; Silva Rui Sérgio dos Santos Ferreira da; Universidade Estadual de Londrina Londrina Brasil; Universidade Tecnológica Federal do Paraná Campo Mour?o Brasil

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Application of artificial neural networks in the identification of tampered gasoline commercialized in the region of Londrina - Paraná

机译：人工神经网络在隆德里纳-巴拉那地区商业化窜改汽油识别中的应用

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The multilayer perceptron network was used to classify the gasoline. The main parameters used in the classification were established by the Ordinance n?o 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.

机译：多层感知器网络用于对汽油进行分类。分类中使用的主要参数是由法国国家石油公司第309号法令规定的，但没有告知网络这些参数的法律限制。所使用的网络在单个隐藏层中具有10个神经元，学习速率为0.04，训练时数为250。人工神经网络的应用可对Londrina-PR地区100％的商品化气体进行分类，并识别出被篡改的汽油，甚至包括那些怀疑被篡改的汽油。

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《Quimica nova》 |2009年第9期|共页
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Bona Evandro; Borsato Dionísio; Dias Gabriel Henrique; Moreira Ivanira; Moreira Mariete Barbosa; Nobrega Marcelo Medre; Silva Rui Sérgio dos Santos Ferreira da; Universidade Estadual de Londrina Londrina Brasil; Universidade Tecnológica Federal do Paraná Campo Mour?o Brasil;
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7. Aplicação de redes neurais artificiais na identificação de gasolinas adulteradas comercializadas na região de Londrina - Paraná Application of artificial neural networks in the identification of tampered gasoline commercialized in the region of Londrina - Paraná [O] . Dionísio Borsato, Ivanira Moreira, Marcelo Medre Nobrega, 2009

机译：人工神经网络在Londrina地区商业化掺假汽油鉴定中的应用 - 巴拉那人工神经网络在Londrina地区商业化篡改汽油鉴定中的应用 - 巴拉那

Application of artificial neural networks in the identification of tampered gasoline commercialized in the region of Londrina - Paraná

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