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bfskAWGN
this is very useful code for awgn channel all detial ar available inthis code
- 2010-09-29 18:54:27下载
- 积分:1
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zernike
zernike 矩
不变矩特征
zernike 矩
不变矩特征(zernike Moment Moment Invariant Feature zernike Moment Moment Invariant Feature)
- 2009-11-10 11:18:59下载
- 积分:1
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AR0134_DS_B
Aptina AR0134 video imaging sensor datasheet
- 2014-12-31 04:35:45下载
- 积分:1
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OPF
内点法最优潮流,可计算118节点系统的交直流最优潮流(OPF interior point method, calculate the AC-DC OPF 118-node system)
- 2021-04-16 15:08:54下载
- 积分:1
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adaboost-and-rbf
随机森林算法在图像特征分类回归中的应用,通过结合神经网络进行更好的特征数据处理(Application of random forest algorithm in image classification and regression, better features by combining neural networks data processing)
- 2015-10-14 20:51:30下载
- 积分:1
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rbfyaochenghu
径向基函数(RBF)神经网络在分类中的应用(Radial Basis Function (RBF) neural network classification)
- 2010-06-09 22:18:52下载
- 积分:1
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Matlab-mldq
Matlab 命令大全,这个很适合初学者!Matlab 命令大全,这个很适合初学者!(Matlab command Guinness, this is very suitable for beginners! Matlab command Guinness, this is very suitable for beginners!)
- 2011-05-11 01:18:16下载
- 积分:1
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Two_line_Element
matlab filter elements
- 2013-07-31 21:52:30下载
- 积分:1
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D_star_PathPlanning-master
说明: 近年来,基于启发式的多目标优化技术得到了很大的发展,研究表明该技术比经典方法更实用和高效。有代表性的多目标优化算法主要有NSGA、NSGA-II、SPEA、SPEA2、PAES和PESA等。粒子群优化(PSO)算法是一种模拟社会行为的、基于群体智能的进化技术,以其独特的搜索机理、出色的收敛性能、方便的计算机实现,在工程优化领域得到了广泛的应用,多目标PSO(MOPSO)算法应用到了不同的优化领域[9~11],但存在计算复杂度高、通用性低、收敛性不好等缺点。
多目标粒子群(MOPSO)算法是由CarlosA. Coello Coello等在2004年提出来的(In recent years, heuristic-based multi-objective optimization technology has been greatly developed, and research shows that this technology is more practical and efficient than classical methods. Representative multi-objective optimization algorithms mainly include NSGA, NSGA-II, SPEA, SPEA2, PAES and PESA. Particle Swarm Optimization (PSO) algorithm is an evolutionary technology based on swarm intelligence that simulates social behavior. With its unique search mechanism, excellent convergence performance, and convenient computer implementation, it has been widely used in the field of engineering optimization. The objective PSO (MOPSO) algorithm is applied to different optimization fields [9~11], but it has shortcomings such as high computational complexity, low versatility, and poor convergence.
The multi-objective particle swarm optimization (MOPSO) algorithm was proposed by Carlos A. Coello Coello et al. in 2004)
- 2021-04-17 17:50:13下载
- 积分:1
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x
说明: hi image denoising.......it works like a charm
- 2011-04-02 14:49:57下载
- 积分:1