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Handwritten data classification method, model training method, device, equipment and medium

A technology for data classification and model training, applied in character and pattern recognition, instrumentation, computing, etc., can solve problems such as difficulty in adapting to application needs, low classification accuracy of classifier models, and achieve reduced redundancy and excellent classification accuracy. , the effect of improving the accuracy

Active Publication Date: 2022-05-17
SUZHOU UNIV
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Problems solved by technology

However, regardless of the above-mentioned model construction methods, the classification accuracy of the constructed classifier model is still relatively low, and it is difficult to meet the actual application needs

Method used

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  • Handwritten data classification method, model training method, device, equipment and medium
  • Handwritten data classification method, model training method, device, equipment and medium
  • Handwritten data classification method, model training method, device, equipment and medium

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Embodiment Construction

[0050] The following will clearly and completely describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0051] The embodiment of the present application discloses a handwriting data classification model training method, see figure 1 As shown, the method includes:

[0052] Step S11: Obtain an original training sample set including handwritten data samples and corresponding handwritten category labels.

[0053] In this embodiment, the original training sample set includes multiple categories of handwriting data samples and the category labels corresponding to each handwriting sample. For...

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Abstract

The present application discloses a handwriting data classification method, model training method, device, equipment and medium, including: obtaining an original training sample set including handwriting data samples and corresponding handwriting category labels; performing data pre-processing on the original training sample set processing, to select non-noise data that can maintain the manifold structure from the original training sample set, and obtain the processed training sample set; use the processed training sample set to carry out the training of the sparse support vector machine model, and obtain the trained model . After obtaining the original training sample set, this application will perform denoising processing on the original training sample set, and only keep the non-noise data that can maintain the manifold structure, thereby reducing the redundancy of the sample data used for training the model, While reducing the amount of sample data, the accuracy of the sample data is also improved, so that the model obtained after subsequent training has excellent classification accuracy.

Description

technical field [0001] The present application relates to the technical field of data classification, in particular to a handwritten data classification method, model training method, device, equipment and media. Background technique [0002] In the existing techniques for classifying handwritten data, the collected raw data is usually directly used to build a classifier model, or the random collection method or K-means clustering algorithm is used to reduce the raw data before building the classifier model. The effect of data volume. However, regardless of the above-mentioned model construction methods, the classification accuracy of the constructed classifier model is still relatively low, and it is difficult to meet the actual application needs. [0003] To sum up, how to improve the accuracy of handwritten data classification results is a problem to be solved at present. Contents of the invention [0004] In view of this, the purpose of this application is to provide...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06V10/764G06V10/774
CPCG06F18/214G06F18/241
Inventor 张莉徐志强王邦军张召李凡长
Owner SUZHOU UNIV