CN108710920A - 示功图识别方法及装置 - Google Patents
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- CN108710920A CN108710920A CN201810568754.5A CN201810568754A CN108710920A CN 108710920 A CN108710920 A CN 108710920A CN 201810568754 A CN201810568754 A CN 201810568754A CN 108710920 A CN108710920 A CN 108710920A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/217—Validation; Performance evaluation; Active pattern learning techniques
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Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110163302A (zh) * | 2019-06-02 | 2019-08-23 | 东北石油大学 | 基于正则化注意力卷积神经网络的示功图识别方法 |
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CN107578771A (zh) * | 2017-07-25 | 2018-01-12 | 科大讯飞股份有限公司 | 语音识别方法及装置、存储介质、电子设备 |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110163302A (zh) * | 2019-06-02 | 2019-08-23 | 东北石油大学 | 基于正则化注意力卷积神经网络的示功图识别方法 |
CN110163302B (zh) * | 2019-06-02 | 2022-03-22 | 东北石油大学 | 基于正则化注意力卷积神经网络的示功图识别方法 |
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