Classification and Recognition of Electronic Components Based on Improved Cooperative Semi-supervised Learning Algorithm

(E-pub Abstract Ahead of Print)

Author(s): Dan Luo*

Journal Name: Recent Advances in Electrical & Electronic Engineering
Formerly Recent Patents on Electrical & Electronic Engineering


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Abstract:

Background: As known that the semi-supervised algorithm is a classical algorithm in semi-supervised learning algorithm.

Methods: In the paper, it proposed improved cooperative semi-supervised learning algorithm, and the algorithm process is presented in detailed, and it is adopted to predict unlabeled electronic components image.

Results: In the experiments of classification and recognition of electronic components, it show that through the method the accuracy the proposed algorithm in electron device image recognition can be significantly improved, the improved algorithm can be used in the actual recognition process .

Conclusion: With the continuous development of science and technology, machine vision and deep learning will play a more important role in people's life in the future. The subject research based on the identification of the number of components is bound to develop towards the direction of high precision and multi-dimension, which will greatly improve the production efficiency of electronic components industry.

Keywords: Improved Collaborative Training, Semi-supervised Learning, Electron Device Image, Recognition, Application, instrument interface.

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Article Details

(E-pub Abstract Ahead of Print)
DOI: 10.2174/2352096514666201224125653
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