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Image processing based on artificial immune algorithm

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Published:13 August 2021Publication History

ABSTRACT

This paper mainly studies the application of artificial immune algorithms combined with principal component analysis in image processing. Firstly, the data set is preprocessed, and the main features are extracted by principal component analysis (PCA). And then we built a neural network. The parameters of the network structure are firstly optimized by using the artificial immune algorithm, and then the optimized parameters are substituted into the backpropagation neural network for training. The characteristics of the artificial immune algorithm can avoid BP neural network when optimizing network structural parameters into local optimal, and get a more reliable model.

References

  1. Bao Ziyang, Yu Jizhou. Intelligent Optimization Algorithm and MATLAB Example [M]. Publishing House of Electronics Industry, 2016. 53--65.Google ScholarGoogle Scholar
  2. Liu Tao. Research on Artificial Immune System and Its Application in Data Mining [M]. China University of Mining and Technology Press, 2010. 2--10.Google ScholarGoogle Scholar
  3. Wang Tuanjie, Zhao Sai, Zheng Sijia. Face recognition system based on BP neural network [J]. Fujian Computer, 2020.27-29.Google ScholarGoogle Scholar
  4. Zhou Feiyan, Jin Linpeng, Dong Jun. A review of convolutional neural networks [J]. Chinese Journal of Computers, 2017.40(6):1--23.Google ScholarGoogle Scholar

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  1. Image processing based on artificial immune algorithm

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                  ICCIR '21: Proceedings of the 2021 1st International Conference on Control and Intelligent Robotics
                  June 2021
                  807 pages
                  ISBN:9781450390231
                  DOI:10.1145/3473714

                  Copyright © 2021 ACM

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                  Association for Computing Machinery

                  New York, NY, United States

                  Publication History

                  • Published: 13 August 2021

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                  Acceptance Rates

                  ICCIR '21 Paper Acceptance Rate131of239submissions,55%Overall Acceptance Rate131of239submissions,55%
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