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RK_subTQ73
通过龙格库塔法求解多自由度系统参数,主要应用于数据求解(Through the Runge Kutta method of multi degree of freedom system parameters)
- 2021-03-10 09:09:26下载
- 积分:1
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BIC确定GMM聚类簇数
说明: 通过贝叶斯信息准则确定高斯混合聚类方法的聚类簇数(Determining the Cluster Number of GMM Clusters by BIC)
- 2021-03-26 19:19:13下载
- 积分:1
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74025819
提供了4种解常微分方程组的c++代码:定步长四阶龙格-库塔(Runge-Kutta)法(RK4->RKDUMP);(In this paper, four c codes for solving ordinary differential equations are provided: the fourth order Runge-Kutta (Runge-Kutta) method with fixed step size (RK4-))
- 2018-11-20 16:57:32下载
- 积分:1
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图书管理系统编写,初学django,增删改查
图书的增删改查,python2.7环境 【调试说明】 0. 安装缺失的包 pip2 install django pip2 instatll pymysql 1. 手动创建mysql数据库 day59_3,并修改settings.py中的 DATABASES 节点 为你本机数据库信息 2. 初始化数据库表结构,执行 D:idePython27>python "D:StudyProjectsPythonProjectday59 图书管理系统manage.py" migrate 3. 运行程序如下: D:idePython27>python "D:StudyProjectsPythonProjectday59manage.py" runserver 4. 访问网址 http://localhost:8000 即可看到如下截图
- 2019-07-31下载
- 积分:1
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PCA
说明: python PCA算法原理推导,及源代码实现,并基于PCA算法实现图片压缩,附pdf文件说明(Python PCA algorithm principle derivation, and source code implementation, and based on PCA algorithm to achieve image compression, with PDF file description)
- 2021-02-09 12:04:01下载
- 积分:1
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FDP聚类算法
说明: 一种无监督的聚类算法,基于密度聚类,名称为基于快速搜索与寻找密度峰值的聚类(Clustering by fast search and find of desity peaks)
- 2020-02-24 15:43:51下载
- 积分:1
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机器学习实战
说明: 机器学习实战中文英文pdf+数据集+代码(Practice of machine learning)
- 2021-02-21 23:11:22下载
- 积分:1
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dulwqcommunication
拷贝和排序,本程序能实现A[N]与B[M],其中这两个数组都按升序排列,合并为一个C[M+N]数组,且按升序排列,()
- 2018-03-14 14:23:09下载
- 积分:1
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QB模型 神经网络
说明: 从数据库获取车辆在一段时间内的所有行驶记录的相关数据,确定所需数据为GPS经纬度坐标和驾驶时长等,QB模型采用MDF的思想,其基本思想为:通过平均直接翻转距离函数定义两条轨迹之间的距离,两条轨迹需要具有相同的经纬度点数,具有相同点数的轨迹最大的优点是对轨迹距离成对计算,且相同轨迹之间具有更高的分辨率,对于轨迹聚类的结果有一定的优化。(Retrieved from the database cars all over a period of time, record the related data, determine the required data for the GPS latitude and longitude coordinates, and the driving time, QB model by adopting the idea of MDF, its basic idea is: flip directly by the average distance function definition of the distance between two trajectories, two tracks will have the same latitude and longitude points, and has the biggest advantages of the same points of trajectory track distance calculation in pairs, and has higher resolution, between the same trajectory for trajectory clustering results have certain optimization.)
- 2020-06-23 08:00:01下载
- 积分:1
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算法与数据结构(python版)(北大内部教材)
说明: 算法与数据结构,python版本的,北大内部教材(Algorithms and Data Structures, Python Version, Peking University Internal Textbook)
- 2019-04-11 16:59:53下载
- 积分:1