神经网络在机场物流预测中的应用研究

Research and Application of Neural Network in Airport Logistics Forecast

考虑到神经网络在机场物流预测应用的必要性及其优点,依据已有的内、外回归神经网络预测模型及其算法,利用它们的良好特性,提出了对角回归神经网络滚动预测模型及其机场物流预测系统,突破了传统意义上进行机场物流预测的局限性.经过实际运行检验,证明在机场物流中应用人工神经网络预测方法不仅可行,而且有更好的预测精度.

Considering the necessity and advantages of logistics forecast applied at the airport based on neural network,and in the light of the inner and outer recursion neural networks forecast model and algorithm with their favorable properties, an optimum logistics forecast model and a forecast system for the airport are put forward, which break through the limitations of the traditional airport logistics forecasting methods. After being tried out, it is proven feasible and more accurate to apply artificial neural network forecast in the airport logistics.