CAJ | 학술논문

通过分析雷达网抗干扰效果的评估指标集，建立了一种基于RBF神经网络的雷达网抗干扰效果评估模型，并通过试验数据样本进行学习训练RBF神经网络模型。最后，利用训练好的RBF神经网络模型对雷达网的抗干扰效果进行评估，结果表明基于RBF神经网络的雷达网抗干扰效果模型具有一定实用性和可行性。
통과분석뢰체망항간우효과적평고지표집，건립료일충기우RBF신경망락적뢰체망항간우효과평고모형，병통과시험수거양본진행학습훈련RBF신경망락모형。최후，이용훈련호적RBF신경망락모형대뢰체망적항간우효과진행평고，결과표명기우RBF신경망락적뢰체망항간우효과모형구유일정실용성화가행성。
Based on analyzing anti-jamming evalution index of Radar net and an index system of effectiveness evaluation is set up, a RBF neural network is established. These test samples are used to train the RBF neural networks. In the end, the RBF neural network is used to evaluate the effectiveness of anti-jamming of radar ne,the result shows that the model of the effectiveness of anti-jamming of radar net based on RBF neural network has advantages of practicability and feasibility.