Literature DB >> 20555967

Two-dimensional programmable optical neural network.

T Lu, S Wu, X Xu, F T Yu.   

Abstract

A 2-D hybrid optical neural network using a high resolution video monitor as a programmable associative memory is proposed. Experiments and computer simulations of the system have been conducted. The high resolution and large dynamic range of the video monitor enable us to implement a hybrid neural network with more neurons and more accurate operation. The system operates in a high speed asynchronous mode due to the parallel feedback loop. The programmability of the system permits the use of orthogonal projection and multilevel recognition algorithms to increase the robustness and storage capacity of the network.

Year:  1989        PMID: 20555967     DOI: 10.1364/AO.28.004908

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  2 in total

1.  Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification.

Authors:  Julie Chang; Vincent Sitzmann; Xiong Dun; Wolfgang Heidrich; Gordon Wetzstein
Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

2.  Space-efficient optical computing with an integrated chip diffractive neural network.

Authors:  H H Zhu; J Zou; H Zhang; Y Z Shi; S B Luo; N Wang; H Cai; L X Wan; B Wang; X D Jiang; J Thompson; X S Luo; X H Zhou; L M Xiao; W Huang; L Patrick; M Gu; L C Kwek; A Q Liu
Journal:  Nat Commun       Date:  2022-02-24       Impact factor: 17.694

  2 in total

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