A single-layer image classification method based on delay mechanism

A classification method and image technology, which is applied in the field of image processing, can solve the problem that the learning effect is easily disturbed, and achieve the effect of robust learning effect, high accuracy, high efficiency and robustness

Active Publication Date: 2022-07-19
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] Aiming at the above-mentioned deficiencies in the prior art, a single-layer image classification method based on a delay mechanism provided by the present invention solves the problem that the Tempotron learning algorithm only relies on adjusting synaptic weights, which leads to the problem that the learning effect is easily disturbed

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  • A single-layer image classification method based on delay mechanism
  • A single-layer image classification method based on delay mechanism
  • A single-layer image classification method based on delay mechanism

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[0051] The specific embodiments of the present invention are described below to facilitate those skilled in the art to understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, as long as various changes Such changes are obvious within the spirit and scope of the present invention as defined and determined by the appended claims, and all inventions and creations utilizing the inventive concept are within the scope of protection.

[0052] like figure 1 As shown, a single-layer image classification method based on a delay mechanism includes the following steps:

[0053] S1. Build an image classification model;

[0054] S2, use the image set to train the image classification model, and obtain the image classification model that has been trained;

[0055] S3. Classify the image by using the image classification model that has been trained to obtain the category of the...

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Abstract

The invention discloses a single-layer image classification method based on a delay mechanism, belonging to the technical field of image processing. The method comprises the following steps: S1, constructing an image classification model; S2, using an image set to train the image classification model, and obtaining a trained image Image classification model; S3. Use the image classification model completed by training to classify the image to obtain the category of the image; the image classification model includes a feature extraction unit, a pulse delay coding unit and a single-layer classifier connected in sequence; the present invention solves the problem of Tempotron learning Algorithms only rely on adjusting synaptic weights, which leads to the problem that the learning effect is highly susceptible to interference.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a single-layer image classification method based on a delay mechanism. Background technique [0002] Tempotron is one of the earliest algorithms to describe the changes in the membrane voltage of spiking neurons, and it pioneered the description of the basic characteristics of a class of algorithms based on membrane voltage drive. The adjustment of synaptic weights is only related to the maximum membrane voltage, and only the influence of threshold and kernel function needs to be considered. The role of Tempotron in spiking neural networks is similar to the basic role of perceptrons. The simplicity of the Tempotron algorithm leads it to only solve binary classification problems. However, many researchers have also made a lot of innovations and improvements based on the Tempotron algorithm. [0003] The Tempotron algorithm has two main defects: one is that the postsyna...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/764G06V10/82G06K9/62G06N3/04G06N3/063G06N3/08
CPCG06N3/049G06N3/063G06N3/08G06F18/24
Inventor 李建平苌泽宇冯文婷肖飞
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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