The storage capacity and addressability of Hopfield model decline greatly when stored patterns are not of independence and equal number of 1, 0 state. To remove this drawback, an neural networks of locally adaptive clipped model is proposed and realized with encoding method of beam direction. This model is also applied to the recognition of traffic sign. The experimental results show that locally adaptive clipped model and the optical system performs well.