搜索资源列表
GA-code
- 遗传算法用于图像处理中，有图像分割，图像特征提取，可以达到很好的效果-Genetic algorithms for image processing, there are image segmentation, image feature extraction, can achieve good results
program
- 本程序用于对工件图像的预处理，边缘提取等。将改进遗传算法和Hausdorff距离结合用于工件识别。采用canny边缘为匹配特征，将修正的Hausdorff距离作为相似性度量准则，并应用遗传算法进行最佳匹配的快速搜索，成功实现了目标物体的匹配识别-This procedure used for the workpiece image preprocessing, edge extraction and so on. Will improve the genetic algorithm and Ha
218_aubt
- 本代码是基于面部感情特征提取的一种遗传算法，-The code is based on the facial feature extraction of the feelings of a genetic algorithm,
qingmai
- 采用偏最小二乘法，用MATLAB编写的遗传算法路径规划，小波包分析提取振动信号中的特征频率。- Partial least squares method, Genetic algorithms using MATLAB path planning, Wavelet packet analysis to extract vibration signal characteristic frequency.
jangqan_v60
- 用MATLAB编写的遗传算法路径规划，欢迎大家下载学习，用于信号特征提取、信号消噪。- Genetic algorithms using MATLAB path planning, Welcome to download the study, For feature extraction, signal de-noising.
munten_v48
- 遗传算法无功优化，小波包分析提取振动信号中的特征频率，插值与拟合的matlab实现。- Genetic algorithm based reactive power optimization, Wavelet packet analysis to extract vibration signal characteristic frequency, Interpolation and fitting matlab implementation.
loutiu_v72
- 用MATLAB编写的遗传算法路径规划，可以动态调节运行环境的参数，小波包分析提取振动信号中的特征频率。- Genetic algorithms using MATLAB path planning, Can dynamically adjust the parameters of the operating environment, Wavelet packet analysis to extract vibration signal characteristic frequency.
qanpiu
- 用MATLAB编写的遗传算法路径规划，matlab编写的元胞自动机，包含特征值与特征向量的提取、训练样本以及最后的识别。- Genetic algorithms using MATLAB path planning, matlab prepared cellular automata, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition.
jaijing
- 用MATLAB编写的遗传算法路径规划，均值便宜跟踪的示例，用于信号特征提取、信号消噪。- Genetic algorithms using MATLAB path planning, Example tracking mean cheap, For feature extraction, signal de-noising.
munyen
- 添加噪声处理，用MATLAB编写的遗传算法路径规划，用于信号特征提取、信号消噪。 - Add noise processing, Genetic algorithms using MATLAB path planning, For feature extraction, signal de-noising.
hg502
- 用于信号特征提取、信号消噪，用MATLAB编写的遗传算法路径规划，采用加权网络中节点强度和权重都是幂率分布的模型。- For feature extraction, signal de-noising, Genetic algorithms using MATLAB path planning, Using weighted model nodes in the network strength and weight are power law distribution.
RSSD
- 该代码针对滚动轴承故障振动信号呈现出非线性、非平稳性及噪声背景较强等特点，为了有效提取故障特征，使用的一种共振稀疏分解（Resonance-based sparse signal decomposition，RSSD）与小波变换相结合的振动信号特征提取技术的相关仿真实验程序和轴承数据分解程序。其中，共振稀疏分解是基于品质因子可调小波变换与形态分量分析的一种新的信号分解方法，与常规的基于频带划分的信号分解方法不同，它依据信号各分量的振荡形态不同对信号进行分解。 同时还提供了可调谐 Q 因子小波
ersrb
- 是学习PCA特征提取的很好的学习资料，用MATLAB编写的遗传算法路径规划，使用起来非常方便。- Is a good learning materials to learn PCA feature extraction, Genetic algorithms using MATLAB path planning, Very convenient to use.
GA
- 利用遗传算法进行特征提取，适合遗传算法初学者(Feature extraction using genetic algorithm)
GA
- 该算法利用遗传算法实现了特征波长的提取，可以有效降维(The algorithm realizes the extraction of characteristic wavelengths by genetic algorithm and can effectively reduce dimension.)