光學(xué)全連接神經(jīng)網(wǎng)絡(luò)與光學(xué)卷積神經(jīng)網(wǎng)絡(luò)的仿真分析

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中圖分類號(hào)：TN256文獻(xiàn)標(biāo)志碼：A

Abstract： Optical neural networks，as the next generation of artificial neural networks，have the advantages of high speed and low power consumption. Optical fully connected neural networks and optical convolutional neural networks consisting of interconnected Mach-Zehnder interferometer were investigated with respect to optical neural networks currently under development. The characteristics and implementations of two optical neural networks in terms of algorithms and structures were presented. Using pytorch and INTERCONNECT software， two kinds of optical neural networks were simulated and analyzed， and the performance of the two kinds of optical neural networks were compared in terms of image recognition accuracy， network complexity， and energy consumption， so as to elucidate the advantages and disadvantages of each of the optical fully-connected neural networks and the optical convolutional neural networks， and to provide reference for the development of optical neural networks in the future.

Keywords： optical fully connected neural network; optical convolutional neural network; MachZehnder interferometer

引言

人工智能和下一代通信技術(shù)的發(fā)展使得高性能計(jì)算需求不斷增長，從而促進(jìn)了硬件技術(shù)的快速發(fā)展。（剩余11368字）