2D sparse distributed memory-optical neural network for pattern recognition

An implementation of a Kanerva neural network using optical techniques is presented. The advantages of this paradigm over conventional algorithms in 2D signal recognition and reconstruction tasks are shown, as its ease of implementation using optical methods in the estimation of the weight matrix, reducing learning time.<
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