Terminal Attractor Optical Associative Memory for Pattern Recognition

Optical associative memory with terminal attractor (TA) is proposed for pattern recognition. With numerical simulations, the optimal control parameter in the TA model associative memory is determined. The optimal control parameter is also used in an optical experiment. The capacity of TA model associative memory is also investigated based on the consistency between the stored pattern and the obtained equilibrium state in statistical thermodynamics. The results of numerical simulations indicate that the memory rate of the TA associative memory is greater than 0.35. We also compare TA model with the conventional Hopfield model, and show that the TA model can eliminate spurious states in the Hopfield model and increase recalling ability and memory capacity.