A data classification method and device based on a discrete dynamic mechanism

A data classification and mechanism technology, applied in the field of data processing, can solve problems such as unsatisfactory data classification performance, too many model parameters, and low accuracy, and achieve the effects of strong practical value, enhanced correlation, and improved algorithm efficiency

Inactive Publication Date: 2019-06-21
SHANDONG NORMAL UNIV
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Problems solved by technology

[0006] Aiming at the deficiencies in the prior art and solving the problems of unsatisfactory data classification performance, slow speed and low accuracy caused by the insufficient use of data correlation in the convolutional neural network and too many model parameters in data classification, this disclosure One or more embodim

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  • A data classification method and device based on a discrete dynamic mechanism
  • A data classification method and device based on a discrete dynamic mechanism
  • A data classification method and device based on a discrete dynamic mechanism

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Embodiment Construction

[0044] The technical solutions in one or more embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in one or more embodiments of the present disclosure. Obviously, the described embodiments are only part of the implementation of the present invention. example, not all examples. Based on one or more embodiments of the present disclosure, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0045] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless otherwise specified, all technical and scientific terms used in this embodiment have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0046] It should be noted that the terminology used here is ...

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Abstract

The invention discloses a data classification method and device based on a discrete dynamic mechanism, and the device is based on the data classification method based on the discrete dynamic mechanism, and the method comprises the steps: receiving a data sample set, and carrying out the data preprocessing; constructing a dynamic neural network model, wherein each layer of the dynamic neural network model comprises a plurality of dynamic modules established by neurons, the dynamic module in each layer is connected with a certain dynamic module in the next layer, and a full connection network isformed between features extracted by the dynamic module in the last layer and data types; Using the standardized data sample set to train a dynamic neural network model to obtain a data classification model; And receiving to-be-classified data, and carrying out data classification according to the data classification model.

Description

technical field [0001] The disclosure belongs to the technical field of data processing, and relates to a data classification method and device based on a discrete dynamic mechanism. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] In today's era, data has become an important resource. It is very meaningful to analyze and process the existing data, find out the rules and classify them. [0004] Due to the limitations of hardware performance, the effect of deep learning models is not ideal. In recent years, the emergence of graphics processing units (GPUs) has set off a new wave of deep learning and promoted the further development of artificial intelligence. In almost all deep models, the convolutional neural network module (CNN) plays a key role in the analysis and processing of big data. At present, almost all deep learning models will...

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Application Information

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IPC IPC(8): G06K9/62G06N3/04
Inventor 王强张化祥计华孙建德王吉华马学强
Owner SHANDONG NORMAL UNIV
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