基于神经网络的农用运输车可靠性问题研究

农用运输车是我国现阶段特有的产物,其使用和推广受产品可靠性的影响很大。为此,针对农用运输车可靠性模型,应用数学方法和人工神经网络系统理论,提出了基于自适应线性神经网络的可靠性模型参数估计方法,并给出了基于该方法的农用运输车相关参数的可靠度函数表达式,为农用运输车的设计制造和管理使用提供了重要的理论参考。

Study on the Reliability of Agricultural Transport Vehicle Based on Neural Network

The agricultural transport vehicle is a peculiar product of the present stage in our country. Its use and popularization are influenced by the reliability of the product. This paper studied the reliability model of agricultural transport vehicle, applied mathematical method and the theory of artificial neural network, proposed a parameter estimation method of reliability model based on the self-adaptive linear neural network, provided the reliability function expression of the relevant parameters of agricultural transport vehicle, and offered some references in theory for the design, manufacture, use, and management of the agricultural transport vehicle.