基于粒子群优化的BP神经网络图像复原算法研究

Wenzhong Wang, Shusheng Zhang, Suihuai Yu

科研成果: 期刊稿件文章同行评审

12 引用 (Scopus)

摘要

Based on PSO-BP algorithm combining particle swarm algorithm with BP neural network algorithm, this paper applies this algorithm to image restoration based on optimization. In the PSO-BP optimization algorithm model, on the one hand, the error of each training sample of BP algorithm is reversed, and the original image is used as the reference to modify the weight threshold of BP algorithm. On the other hand, it is optimized by forward particle swarm algorithm and BP algorithm. Finally, through the algorithm analysis and experimental data, the recovery effect of PSO-BP optimization algorithm is better than that of the same type algorithm.

投稿的翻译标题Image Resteoration by BP Neural Based on PSO
源语言繁体中文
页(从-至)709-714
页数6
期刊Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
36
4
DOI
出版状态已出版 - 1 8月 2018

关键词

  • Image restoration
  • MATLAB
  • Particle swarm optimization(PSO)-BP optimization algorithm
  • Pixel

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