神经网络在通信干扰效果评估中的应用研究

人工神经网络具有学习、记忆等仿生特点，可以通过对已知问题及结论进行学习，并把结果为知识记忆下来，得到内在的因果映射关系，遇到类似问题时，直接用学习到的知识进行处理，得出结论。针对通信干扰效果评估中不易得到因果关系的显式解析表达式，研究了把以前测试通信干扰效果的数据作为知识，通过BP型神经网络进行学习，拟合出干扰效果与影响因素之间的映射关系，避开求解析表达式，从而建立干扰效果评估模型，对干效果进行评估。

Study on Communication Jamming Effects Evaluation Using the Artificial Neural Network

With the characteristics of the Artificial Neural Network's(ANN) learning and memory, the method of BP Neural Network is used for the communication jamming effects evaluation. On the base of the test data, through trainings the ANN, the mapping between the effect and factors of the communication jamming is fitted and get the model of evaluation.