基于BP神经网络的不可预期燃油计算方法

Unpredictable fuel calculation method based on BP neural network

以空客A320机型的航线签派数据为基础,首先根据咨询通告的方法计算不可预期燃油标准;然后采用新的方法,引入BP神经网络来预测航线燃油,根据预测的航线燃油计算新不可预期燃油标准。计算结果表明,新方法可以灵活地对每个航班的不可预期燃油进行计算,在保证安全的前提下有效地减少航班的不可预期燃油加载。

Firstly,calculate the unpredictable fuel standard with the method of AC based on the data of the Airbus A320,predict fuel consumption with the new method by introducing BP neural network,and calculate the new unpredictable fuel standards based on the predicted fuel consumption.Results indicate that new method can flexibly calculate unpredictable fuel for each flight,reduce unpredictable fuel for flights while ensuring safety.