An optoelectronic implementation of the Hopfield model is presented. 2-D PDA is used for vector-matrix multiplication of binary optical signals. Multi-level interconnection matrix is realized by accumulating signals on PDA during several cycles.Boris S. Kiselyov...
Paek, “Optical implementation of the Hopfield model,” Appl. Opt., vol. 24, no. 10, pp. 1469–1475, 1985. https://doi.org/10.1364/AO.24.001469.Search in Google Scholar [6] A. Zhan, S. Colburn, R. Trivedi, T. K. Fryett, C. M. Dodson, and A. Majumdar, “Low-contrast ...
& Paek, E. Optical implementation of the hopfield model. Applied optics 24, 1469–1475 (1985). Article ADS PubMed CAS Google Scholar Psaltis, D., Brady, D. & Wagner, K. Adaptive optical networks using photorefractive crystals. Applied Optics 27, 1752–1759 (1988). Article ADS Google ...
Optical implementation of the Hopfield model for two-dimensional associative memory Optical implementation of Hopfield's neural network model [Proc. Natl. Acad. Sci. USA 79, 2554 (1982)] for two-dimensional associative memory is discussed... JS Jang,SW Jung,SY Lee,... - 《Optics Letters》 ...
Optical implementation of the Hopfield neural network using multiple fiber nets Associative memory based on the Hopfield model utilizing interconnections by multiple optical fiber nets is proposed and demonstrated experimentally. The c... F, Ito,K, Kitayama - 《Applied Optics》 被引量: 13发表: 1989...
The state of the art of their implementation is indicated, and some supportable speculations on their future are given. 关键词: Optical neural network LCTV‐based architecture Holographic‐based architecture Joint transform correlator‐based architecture Hopfield model DOI: 10.1109/5.40669 被引量: 9...
图1简要地梳理了光学神经网络和光学伊辛机的历史演变, 并标注了发展过程中的一些重要节点. 早在1985年, 宾夕法尼亚大学研究团队完成了第一个实验实现的光子Hopfield神经网络架构[9]. 随后, 诸如光储备池计算和光脉冲神经网络等其他类型架构也相继被提出[10,11]. 2010年以来, 光学神经网络架构的实现方式主要集中在...
Today’s heavy machine learning tasks are fueled by large datasets. Computing is performed with power-hungry processors whose performance is ultimately limited by the data transfer to and from memory. Optics is a powerful means of communicating and processing information, and there is currently intens...
The key performance measures for a hardware implementation of an associative memory (or a CAM) are its capacity (number of stored bits) and its search rate (bit-operations/sec). In general, both the capacity and the search rate are limited by the particular technology used for storage/process...
space26,31. However, these free-space approaches require heavy auxiliary or modulation equipment which is space-consuming34,35and exceedingly challenging to program in real-time31,36,37, hindering their feasibilities towards the large-scale implementation and commercialization of photonic neural networks...