## 2 Adaptive PCNN Combined with GWO and BEMD
### The Proposed BEMD-GWO-PCNN Algorithm
(2012) [PERSON]; [PERSON]; [PERSON] [PERSON] Image denoising: Can plain neural networks compete with BM3D? In Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, USA, 16-21 June 2012; pp. 2392-2399. * [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON] Improved BM3D denoising method. _IET Image Process._**2017**, _11_, 1197-1204. [CrossRef]* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Pulse-coupled neural networks and parameter optimization methods. _Neural Comput. Appl._**2017**, _28_, 671-681. [CrossRef]
* [PERSON] and [PERSON] (2010) [PERSON]; [PERSON] [PERSON] Pulse coupled neural network based anisotropic diffusion method for 1/f noise reduction. _Math. Comput. Model._**2010**, _52_, 2085-2096. [CrossRef]
* [PERSON] et al. (2010) [PERSON]; [PERSON]; [PERSON]; [PERSON] Review of pulse-coupled neural networks. _Image Vis. Comput._**2010**, _28_, 5-13. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON] Memristor-based circuit implementation of pulse-coupled neural network with dynamical threshold generators. _Neurocomputing_**2018**, _284_, 10-16. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] NST-PCNN image fusion based on image gradient motivation. _IET Comput. Vis._**2017**, _12_, 377-383. * [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Robust Sparse Representation Combined with Adaptive PCNN for Multifocus Image Fusion. _IEEE Access_**2018**, \(6\), 20138-20151. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON] A new adaptive filtering method for removing salt and pepper noise based on multilayered PCNN. _Pattern Recognit. Lett._**2016**, _79_, 8-17. [CrossRef]
* [PERSON] and [PERSON] (2017) [PERSON]; [PERSON]; [PERSON] Memristive pulse coupled neural network with applications in medical image processing. _Neurocomputing_**2017**, _227_, 149-157. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Transmission line voltage classes identification based on particle swarm optimization algorithm and PCNN. _Ferroelectrics_**2017**, _521_, 6-17. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Hybrid image noise reduction algorithm based on genetic ant colony and PCNN. _Vis. Comput._**2017**, _33_, 1373-1384. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Temperature drift modeling of MEMS gyroscope based on genetic-Elman neural network. _Mech. Syst. Signal Process._**2016**, _72-73_, 897-905. * [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] Catenary image segmentation using the simplified PCNN with adaptive parameters. _Opt. Int. J. Light Electron Opt._**2018**, _157_, 914-923. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] A parameter estimation method of the simple PCNN model for infrared human segmentation. _Opt. Laser Technol._**2018**. [CrossRef]
* [PERSON] et al. (2016) [PERSON]; [PERSON]; [PERSON]; [PERSON] Multimodal medical image fusion using PCNN optimized by the QPSO algorithm. _Appl. Soft Comput._**2016**, _46_, 588-595. [CrossRef]
* [PERSON] and [PERSON] (2008) [PERSON]; [PERSON] A mixed noise image filtering method using weighted-linking PCNNs. _Neurocomputing_**2008**, _71_, 2986-3000. [CrossRef]
* [PERSON] et al. (2017) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A chaos wolf optimization algorithm with self-adaptive variable step-size. _AIP Adv._**2017**, \(7\), 105024. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON] Grey wolf optimizer with cellular topological structure. _Expert Syst. Appl._**2018**, _107_, 89-114. [CrossRef]
* [PERSON] et al. (2018) [PERSON]; [PERSON]; [PERSON]; [PERSON] A novel hybrid algorithm based on Biogeography-Based Optimization and Grey Wolf Optimizer. _Appl. Soft Comput._**2018**, _67_, 197-214. [CrossRef]
* [PERSON] et al.