基于Elman网络模型的空中目标识别方法

为了准确、迅速识别空中目标类型,建立基于Elman神经网络的空中目标识别模型。该模型降低了以往空中目标识别方法中的人为因素,提高目标识别结果的可信度和快速性。通过实例验证,证明该模型的有效性和正确性。

Aerial Target Identification Based on Elman Neural Network

In order to identify the type of aerial target accurately and quickly, this paper establishes the identification model on the theory of Elman neural network. The model reduces the artificial factors within the methods of identifying the type of aerial target and raises the credibility, and speed to the identification results. Finally, with an example, this paper proves the usefulness and the accuracy of the model.