@inproceedings{d88cefab0f214e3b96747f5985b7084b,

title = "Four-quadrant optical matrix vector multiplication machine as a neural network processor",

abstract = "Optical processors for neural networks are primarily fast matrix-vector multiplication machines that can potentially compete with serial computers owing to their parallelism and their ability to facilitate densely connected networks. However, in most proposed systems the multiplication supports only two quadrants and is thus unable to provide bipolar neuron outputs for increasing network capabilities and learning rate. We propose and demonstrate an opto-electronic four quadrant matrix-vector multiplier that can be used for feedforward neural networks recall and learning. Experimental results obtained with common commercial components demonstrate a novel, useful, and reliable approach for four quadrant matrix-vector multiplication in general and for feedforward neural network training and recall in particular.",

author = "Shai Abramson and D. Saad and Emanuel Marom and Naim Konforti",

year = "1993",

language = "אנגלית",

isbn = "081941218X",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "Publ by Society of Photo-Optical Instrumentation Engineers",

pages = "166--174",

editor = "Itzhak Shladov and Yitzhak Weissman and Moshe Oron",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

note = "null ; Conference date: 14-12-1992 Through 16-12-1992",

}