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A fuzzy ART-based pattern recognition method and device

A pattern recognition and pattern technology, applied in the electronic field, can solve the problem of low pattern recognition efficiency, and achieve the effect of improving the pattern recognition efficiency

Active Publication Date: 2021-08-17
CHINA MOBILEHANGZHOUINFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a fuzzy ART pattern recognition method and device, which is used to solve the technical problem of low pattern recognition efficiency in the existing fuzzy ART, and improve the pattern recognition efficiency

Method used

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  • A fuzzy ART-based pattern recognition method and device
  • A fuzzy ART-based pattern recognition method and device
  • A fuzzy ART-based pattern recognition method and device

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Experimental program
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Embodiment 1

[0086] Please refer to figure 2 , Embodiment 1 of the present invention provides a pattern recognition method based on fuzzy adaptive resonance theory neural network FuzzyART, which is applied to terminal equipment, including:

[0087] S101: Obtain m characteristic parameters of the current environment, where m is a positive integer;

[0088] S102: Based on the m characteristic parameters and the m fluctuation thresholds, determine the similarity of the m characteristic parameters, wherein the m fluctuation thresholds are in one-to-one correspondence with the m characteristic parameters, and the fluctuation threshold is used for Characterize the change interval of the corresponding characteristic parameter;

[0089] S103: If the similarity satisfies a preset condition, determine the mode types of the m feature parameters.

[0090] In the specific implementation process, the specific implementation process of step S101 to step S103 is as follows:

[0091] First, obtain m ch...

Embodiment 2

[0145] Based on the same inventive concept as Embodiment 1 of the present invention, please refer to Figure 8 , the embodiment of the present invention also provides a pattern recognition device based on fuzzy adaptive resonance theory neural network Fuzzy ART, which is applied to terminal equipment, including:

[0146] An obtaining unit 10, configured to obtain m characteristic parameters of the current environment, where m is a positive integer;

[0147] The first determination unit 20 determines the similarity of the m characteristic parameters based on the m characteristic parameters and the m fluctuation thresholds, wherein the m fluctuation thresholds are in one-to-one correspondence with the m characteristic parameters, The fluctuation threshold is used to characterize the change interval of the corresponding characteristic parameter;

[0148] The second determination unit 30 determines the mode types of the m feature parameters if the similarity meets a preset condit...

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Abstract

The present invention discloses a method and device for pattern recognition based on Fuzzy ART, wherein the method is applied to terminal equipment, including: obtaining m characteristic parameters of the current environment, wherein m is a positive integer; based on the m characteristics parameters and m fluctuation thresholds, determining the similarity of the m characteristic parameters, wherein the m fluctuation thresholds are in one-to-one correspondence with the m characteristic parameters, and the fluctuation threshold is used to characterize the change interval of the corresponding characteristic parameters ; If the similarity meets a preset condition, determine the mode type of the m characteristic parameters. It is used to solve the technical problem of low pattern recognition efficiency existing in the existing Fuzzy ART, and improves the pattern recognition efficiency.

Description

technical field [0001] The invention relates to the field of electronic technology, in particular to a method and device for pattern recognition based on Fuzzy ART. Background technique [0002] Fuzzy adaptive resonance theory (Fuzzy ART) neural network is a pattern recognition clustering algorithm, which is widely used in image recognition, fault detection and other fields. [0003] The Fuzzy ART neural network model is a competitive neural network model constructed by Carpenter that uses unsupervised learning. It can not only learn online, but also learn dynamically as the environment changes, and has good adaptability. However, the algorithm performs normalization and complement processing on the input, and does not give the weight (sensitivity) of each feature in the input to the overall algorithm similarity comparison. That is, the differences of different feature parameters may be matched to the same pattern after Fuzzy ART similarity judgment. For example, in a smar...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/23
Inventor 孙焕文李应锋史俊峰胡舜峰马姗姗
Owner CHINA MOBILEHANGZHOUINFORMATION TECH CO LTD