资源列表
Wind-Speed-Combined-Prediction
- 针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。-In order to improve short-term wind speed pr
released
- 本文件是我自己写的决策树的一个例子，很适合初学者学习，用决策树分类，实现很简单-This document is an example of the decision tree of my own writing, it is suitable for beginners to learn, decision tree classification, to achieve a very simple
Ashor
- Initialization Algorithm for k-means
826479
- 最简单的卡尔曼滤波器的设计,可以放心使用,直接在MATLAB中可以运行 带有效果图()
K_Means
- K-Means是聚类算法中的一种，其中K表示类别数，Means表示均值。顾名思义K-Means是一种通过均值对数据点进行聚类的算法。K-Means算法通过预先设定的K值及每个类别的初始质心对相似的数据点进行划分。并通过划分后的均值迭代优化获得最优的聚类结果。(K-Means is one of the clustering algorithms, in which K represents the number of classes, and Means means the mean. As t
爬取豆瓣电影Top250
- 通过python语言，利用爬虫、词云等模块，爬取豆瓣电影评分前250(Climbing the top 250 of Douban Movie)
optimization
- 用最少方差法对资源高峰进行优化,并以柱状图的形式直接显示出来结果-With a minimum variance method to optimize resource peak
associationRuleMining
- 关联规则挖掘，包括原始数据和处理后的数据，以及挖掘程序和挖掘后的报告-Report association rule mining, including raw data and the processed data, as well as mining and mining program after
qcgk332
- c数值算法的源码,是非常经典的书籍,可以用在很多方面()
stft
- 利用时频分析的方法分析一段语音信号的时频特征，并进行降采样等处理，可直接运行-When the time-frequency analysis method to analyze the frequency of use of a voice signal characteristics, and down-sampling and other treatment, can be directly run
kaggle-avazu-rank1
- Kaggle比赛中对于亚马逊的广告点击率预估rank1，其中包含相关数据和代码(the Kaggle competition, the ad click rate for Amazon is estimated to be Rank1, which contains relevant data and code)
jibenyiqunjulei
- 该算法，解决了不收敛的问题，聚类效果非常好。改进的蚁群算法是基于遗传算法的改进，在基本遗传算法的基础之上，加入了变异因子，产生变异，从而更快的收敛。-The algorithm solves the problem of convergence, and the clustering effect is very good. The improved ant colony algorithm is based on the improvement of genetic algorithm. O