搜索资源列表
图像去噪程序
- 小波阈值去噪具有很强的相关性,通过小波阈值处理,可以将噪声分为对应的小波系数,在经过阈值处理可以滤除,从而达到去噪的效果。(Wavelet threshold denoising has a strong correlation. Through wavelet threshold processing, the noise can be divided into corresponding wavelet coefficients.
Evolutionary Optimization Algorithms
- 多种智能算法matlab源程序,即有一些常用的算法,也有一些新颖的算法,用于求解优化问题。包括PSO(粒子群优化算法),GA(遗传算法),DE(差分进化算法),GWO(灰狼优化算法),FA(萤火虫优化算法),IWD算法,MBO(帝王蝶优化算法),SBO(序列最小优化),SOS(共生生物搜索算法),WEO算法,BBKH算法,BBBC算法
Toolbox_all_algorithms
- 这是MATLAB中最新的优化工具箱,它利用最近提出的7种算法来优化您的问题。 此工具箱中提供的算法包括: 灰狼优化器(GWO),蚂蚁狮子优化器(ALO),多功能优化器(MVO),蜻蜓算法(DA),蛾火焰算法(MFO),正弦余弦算法(SCA)和鲸鱼优化算法(WOA) 。(This is the latest optimization toolbox in MATLAB, which optimizes your problem usin
灰太狼优化算法
- GWO算法模拟了灰狼在自然界中的领导层次和狩猎机制。四种类型的灰狼,如alpha,beta,delta和omega,用于模拟领导层次结构。此外,实施狩猎,搜寻猎物,环绕猎物和攻击猎物的三个主要步骤以执行优化。 压缩包包括:发表的论文、优化算法代码、优化工具箱。(The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in
Hybrid-GWOPSO-optimization
- 灰狼算法和粒子群算法的结合,是两种种群算法的结合,值得一看(The combination of grey Wolf algorithm and particle swarm optimization is a combination of two population algorithms, which is worth a look)
2016.09.08GWO
- 本代码描述的是有关灰狼算法的研究,这个代码有详细的内容说明与简介,网络上的代码普遍有错误,本人将所有的代码全部实现并改正了错误。供大家学习参考(This code describes the research on the gray wolf algorithm. This code has detailed descr iption and introduction. The code on the network is genera
GWO
- 灰狼优化算法和粒子群算法性能比较,附加灰狼算法介绍的PDF(Performance Comparison between Grey Wolf Optimization Algorithm and Particle Swarm Optimization Algorithm)
灰狼优化算法源代码
- 灰狼算法,一种新型群体智能优化算法,将改进的灰狼算法优化神经网络模型,提高收敛速度,避免陷入局部最优解(The grey wolf algorithm (GWO), which is inspired by the predatory behavior of the gray wolf group, is a new group intelligent optimization algorithm that imitates the l
混沌tent映射tent分叉程序
- 构建基于改进灰狼优化算法的神经网络数据预测模型(IGWO-BPNN),目的在于用改进的灰狼优化算法优化神经网络模型,利用神经网络的反向传播优势,改善神经网络算法易于陷入局部最小值的缺陷,提高神经网络模型的预测精度。(The grey wolf algorithm (GWO), which is inspired by the predatory behavior of the gray wolf group, is a new grou
GWO
- 灰狼优化算法,混沌反向学习,matlab(Grey wolf optimization algorithm,matlab)
灰狼GWOVMD
- 算法是基于灰狼优化算法GWO优化VMD,可以大大提高VMD的分类准确率,提高优化时间。(This algorithm is based on GWO optimization VMD, which can greatly improve VMD classification accuracy and optimization time.)
GWO_SVR
- 灰狼算法优化的支持向量回归,可以用于预测。(The grey Wolf algorithm is optimized for support vector regression and can be used for prediction.)
GWO Code
- Grey Wolf code DG optimization