采用线性组合Ｃｌｉｐｐｅｄ方法得到初始的具有旋转不变性的ＷＴＡ模型输入层与中间层间的二值互连权重，并利用局部ＭｏｎｔｅＣａｒｌｏ方法对权值进行优化以提高系统的正确识别率．以４类飞行目标进行了计算机模拟，实验结果表明此模型用于识别旋转目标是可行的．还提出一个实现此模型的光电混合系统 The linear interconnected Clipped method was used to obtain the initial binary interconnection weight between the input layer and the middle layer of the WTA model with rotation invariance. The local Monte Carlo method was used to optimize the weights to improve the correct recognition rate of the system. Computer simulations were carried out on four types of flight targets. The experimental results show that this model is feasible to identify the rotating target. Also put forward a photoelectric hybrid system to achieve this model