Optical neural networks with terminal attractors for pattern recognition
Xin Lin · Optical Engineering · 1996
The neural network system with terminal attractors is pro- posed for pattern recognition. By the introduction of the terminal attrac- tors, the spurious states of the energy function in the Hopfield neural networks can be avoided and a unique solution with global minimum is obtained. The computer simulations show the usefulness of the method for pattern recognition. Based on the terminal attractor neural network, we proposed the optical neural network with the terminal attractor model. The results show that the recognition rate is considerably enhanced by the introduction of the terminal attractors. © 1996 Society of Photo-Optical Instrumentation Engineers.