Optical Learning Neural Network Using a Selfoc Microlens Array for Pattern Recognition

概要

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An optical system for learning neural networks with a 2-D architecture was constructed using a Selfoc microlens array. Using this system, we achieved pattern recognition of typed alphabet characters detected directly with a CCD camera. The system learned 4 characters according to a random search algorithm in order to avoid the difficulties and the costs of calculations of learning signals, optical alignments and addressing to the device which display the weight tensors.
公益社団法人応用物理学会分科会日本光学会の論文