Optical Implementation of Real-Time Two-Dimensional Hopfield Neural Network Model Using Multifocus Hololens

Multifocus Hololens를 이용한 실시간 2차원 Hopfield 신경회로망 모델의 광학적 실험

In this paper, we describe real-time optical implementation of the Hopfield neural network model for two-dimensional associative memory by using commercial LCTV and Multifocus For real-time processing capability, we use LCTV as a memory mask and a input spatial light modulator. Inner product between input pattern and memory matrix is processed by the multifocus holographic lens. The output signal is then electrically thresholded fed back to the system input by 2-D CCD camera. From the good experimental results, the proposed system can be applied to pattern recognition and machine vision in future.