Optical neural networks with terminal attractors for pattern recognition

Xin Lin; Junji Ohtsubo

doi:10.1117/1.600795

1 August 1996 Optical neural networks with terminal attractors for pattern recognition

Xin Lin, Junji Ohtsubo

Optical Engineering, Vol. 35, Issue 8, (August 1996). https://doi.org/10.1117/1.600795

The neural network system with terminal attractors is proposed for pattern recognition. By the introduction of the terminal attractors, 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.

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Xin Lin and Junji Ohtsubo "Optical neural networks with terminal attractors for pattern recognition," Optical Engineering 35(8), (1 August 1996). https://doi.org/10.1117/1.600795

Published: 1 August 1996

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