The causes and parameters of prediction of carrier UAV maintainability have been introduced in this article. By means of combining the immune algorithm and radial basis function,a carrier UAV maintainability prediction model was established, which based on IRBF neural network. A simulation experiment was made to compare the BP network prediction model and the conventional RBF network prediction model. The simulation experiment shows this mothod for carrier UAV maintainability prediction have a higher prediction accuracy and a shorter training time.%介绍了舰载无人机维修性预计的主要影响因素和维修性参数,将免疫算法与径向基函数相结合,建立了舰载无人机维修性预计的免疫径向基神经网络模型,并与BP网络和常规径向基函数网络进行了对比模拟实验.实验表明,免疫径向基神经网络具有更高的预测性、准确性和更短的训练时间.
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