A model of neural networks and its learning algorithm suitable for optical implementation are proposed. As an example, the model is applied to recognize the projective image of three kinds of aircraft. Computer simulations and optical experiment have shown that this model can be successfully used to error tolerance pattern recognition of multiple targets with arbitrary orientations.