Abstract
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.
| Translated title of the contribution | Image Resteoration by BP Neural Based on PSO |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 709-714 |
| Number of pages | 6 |
| Journal | Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University |
| Volume | 36 |
| Issue number | 4 |
| DOIs | |
| State | Published - 1 Aug 2018 |