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本文主要讨论了人工神经网络在近程反导中的应用,利用共轭梯度法和黄金分割法对BP网络进行了改进。把BP网络和卡尔曼滤波结合起来,建立对目标定位和跟踪的数学模型。并且对该模型进行了模拟计算。
This paper mainly discusses the application of artificial neural network in the short-range anti-ballistic missile. The BP network is improved by conjugate gradient method and golden section method. The BP network and Kalman filter are combined to establish a mathematical model for locating and tracking the target. And the model is simulated.