【摘要】 将神经网络应用于战场声目标分类,针对BP算法易陷入局部极小、收敛速度慢的缺点,利用遗传算法具有全局寻优的特点,将二者结合起来,提出一种训练神经网络的混合算法GA-BP算法,并将其应用于低空飞行目标的声识别。仿真结果表明该算法具有较高的识别概率和较好的鲁棒性。更多还原

【Abstract】 When the neural network is applied to low altitude passive acoustic target identification,BP algorithm has a low speed of convergence and is usually plunged into local optimum easily.According to the advantage of the globe searching property of genetic algorithm,a novel algorithm combining BP algorithm and genetic algorithm was proposed in this paper.The simulation results show that the proposed algorithm can be used in low altitude passive acoustic target identification effectively and reliably.更多还原