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原件psotb-beta-0.3
- 基于matlab开发的pso程序，并且加以改造运用到软测量中，效果不错，大家可以-Matlab-based development PSO procedures, and to transform the use of soft measurement, worked quite well. we can s
chaos-baker-vanderpol
- baker（面包师变换）的混沌图像，面包师变换是混沌的一种，是一维的混沌映射。vanderpol混沌系统的图像-baker (baker transform) of chaotic image, the baker's transformation is a chaotic, is a dimension of chaotic maps. Vanderpol chaotic system image
expertsystem
- 一篇关于基于S变换实现电能质量自动分类的专家系统实现的外文文献-Article on the S transform based automatic classification of power quality of foreign language literature expert system
stransfer
- S变换的matlab源码，并举例，应用几个信号作为例子来说明怎么使用s变换以及s变换可以用来做些什么事情。-S-transform matlab source code, and examples, the application of several signal as an example to illustrate how to use s and s transforms transform can be used to do things.
Pqd_My_v11
- 电能质量检测平台仿真测试软件，用于验证各种检测算法的有效性，其中涉及小波变换，S变换，二叉树结构的支持向量机分类算法。-Power quality detection platform simulation test software used to verify the validity of the detection algorithm, which involves the wavelet transform, S transform and support vector machine
Base-paper
- An expert system based on S-transform and neural network for automatic classification of power quality disturbances
Pattern-recognition--using-S-Transform-and
- Pattern recognition using S Transform Detection and classification of power quality disturbances ST and R-Pattern recognition using S Transform Detection and classification of power quality disturbances ST and RNN
Power-quality-using-S-transform-and-fuzzy
- Power quality time series data mining using S-transform and fuzzy
s-t
- 广义s变换，用于电能质量扰动信号分析的特征提取和识别-Generalized s transform for power quality disturbance signal analysis, feature extraction and recognition
LOMO_XQDA
- 行人重定位算法，识别效果非常好，有源码和文章-Person re-identification is an important technique towards automatic search of a person’s presence in a surveillance video. Two fundamental problems are critical for person re-identification, feature representation and me
云理论模型相关算法及应用
- 关于李德毅院士的云理论模型相关算法（包括云变换、正向云、逆向云等），及其在不同领域的应用实例。特点：算法描述具体，应用翔实，可重复。(About academician Li Deyi's cloud theory model, related algorithms (including cloud transform, forward cloud, reverse cloud, etc.), and their application in different fields. Features
deepwalk-master
- skipgram的deepwalk算法，复杂网络节点表征学习文中有部分地方还是有很大的改进空间的，比如随机游走过程，本文提出的更像是随机地进行深搜，后来的很多文章，例如LINE、Node2vec都有在这方面有进行改进。还有一点就是LINE里面提到的，Deepwalk中没有提出一个明确的目标函数（这是不是机器学习专家的职业病，非得把问题转化为最优化问题…）(Deepwalk skipgram algorithm, the complex network node in the characteri