利用神经网络预测发动机燃料的蒸发

PROCEEDINGS OF THE VI INTERNATIONAL SCIENTIFIC-PRACTICAL CONFERENCE «INNOVATIVE TECHNOLOGIES IN SCIENCE AND EDUCATION» (ITSE-2018) Pub Date : 2018-09-05 DOI:10.23947/ITNO.2018.1.76-79

M. Levin, S. Nagornov

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引用次数: 0

摘要

利用神经网络对5和10 m3水平储层中燃料的蒸发进行了预测，预测精度不小于95%。将所获得的网络应用于“油库水平储层自动控制系统”程序的数据，可以获得5和10立方米储罐中燃料储存3天的运行预测结果。对1个月预测准确率的平均估计分别为90.5%和93.4%。

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FORECASTING THE EVAPORATION OF MOTOR FUEL IN STORAGE WITH THE USE OF NEURAL NETWORKS

A neural network was obtained to predict the evaporation of fuel when stored from horizontal reservoirs with a volume of 5 and 10 m3 with a forecast accuracy of not less than 95%. Applying the obtained network to the data from the program "Automated control system for horizontal reservoirs at the oil depot", it was possible to obtain the results of the operational forecast for 3 days for storage of fuel in a 5 and 10 m3 tank. The average estimate of the accuracy of the forecast for 1 month was 90.5 and 93.4%, respectively.

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PROCEEDINGS OF THE VI INTERNATIONAL SCIENTIFIC-PRACTICAL CONFERENCE «INNOVATIVE TECHNOLOGIES IN SCIENCE AND EDUCATION» (ITSE-2018)

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