Optical neural network method for realizing digital recognition

A digital recognition and neural network technology, applied in the field of optical neural networks, can solve the problems of computing time and efficiency, system power and bandwidth limitations, and achieve the effect of shortening computing time, large use potential, and reducing computing energy consumption

Inactive Publication Date: 2019-09-03
ZHEJIANG UNIV
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Problems solved by technology

Embedded vision applications also try to combine part of the image processing on the sensor, eliminating or reducing the need to tran

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  • Optical neural network method for realizing digital recognition
  • Optical neural network method for realizing digital recognition
  • Optical neural network method for realizing digital recognition

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Embodiment Construction

[0028] In the ensuing description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. Rather, the invention may be practiced without these specific details. It is to be understood, however, that there is no intent to limit the various embodiments of the invention to the particular embodiments disclosed herein, but the invention is to be construed to cover those within the spirit and scope of various embodiments of the invention. All adjustments, equivalents and / or alternatives.

[0029] Reference herein to an "embodiment" refers to a specific feature, structure or characteristic that can be included in at least one implementation of the present invention. "In one embodiment" appearing in different places in this specification does not all refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments. Furthermore, the order of blocks in a method, flowchar...

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Abstract

The invention provides an optical neural network method for realizing the digital recognition. The optical neural network method comprises a step of acquiring digital image features and a step of constructing an optical neural network. The optical neural network is composed of an optical interference module, an optical nonlinear module and a detector array, and the optical interference module comprises a Mach-Zehnder interferometer array and a variable optical attenuator, and can realize any matrix multiplication. The optical non-linear module is composed of a saturable absorber and other devices with the non-linear effects, and can realize the function of an activation function in an artificial neural network. According to the method, the calculation time is shortened through optical calculation, and the calculation energy consumption is reduced.

Description

technical field [0001] The invention relates to the technical field of optical neural network, in particular to an optical neural network method for realizing digital recognition. Background technique [0002] Inspired by biological neural networks, artificial neural network (ANN) is an algorithmic mathematical model that realizes distributed parallel information processing by imitating the behavioral characteristics of animal neural networks. This kind of network depends on the complexity of the system, and achieves the purpose of processing information by adjusting the interconnection relationship between a large number of internal nodes. [0003] Artificial neural networks are currently widely used in image, speech, scene recognition and decision-making problems, and have also made breakthroughs in embedded systems such as mobile vision, autonomous vehicles and robots, and wireless smart sensors. However, due to the complexity of the model in the embedded system, a deepe...

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Application Information

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IPC IPC(8): G06N3/067G06N3/10G06N3/04
CPCG06N3/0675G06N3/10G06N3/045
Inventor 郑臻荣陈媛陶陈凝黄怡丁章浩张金雷秦振韬
Owner ZHEJIANG UNIV
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