登录
首页 » python » 路径查找

路径查找

于 2022-06-15 发布 文件大小:1.18 kB
0 79
下载积分: 2 下载次数: 1

代码说明:

路径查找 Dijsktra 路径查找 Dijsktra 路径查找 Dijsktra 路径查找 Dijsktra 路径查找 Dijsktra

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论


0 个回复

  • code
    完成三个聚类算法:k-means,非负矩阵分解,谱聚类(Please implement three clustering algorithms: k-means, clustering by non-negative matrix factorization (NMF), and spectral clustering.)
    2021-04-13 10:18:56下载
    积分:1
  • Vehicle-Detection-YOLO-keras-master
    说明:  通过代码实现对图片和视频中车辆的检测与识别(Through the code to achieve the detection and recognition of vehicles in pictures and videos)
    2020-08-06 18:45:22下载
    积分:1
  • MultivariatePolynomialFitting-master
    说明:  多元多项式拟合,将两个及两个以上的自变量与因变量你合成一个多项式方程(Multivariate Polynomial Fitting from LioTuoms)
    2021-03-16 11:19:22下载
    积分:1
  • 图像识别代码集
    HOG LBP 在python matlab C++环境下的实现(Implementation of HOG LBP in Python matlab C++ environment)
    2019-05-24 15:05:36下载
    积分:1
  • 记忆翻牌
    环境:请看到我的init部分 总共20张纸牌
    2022-03-24 22:01:55下载
    积分:1
  • deleteFailedElementPlugin
    用于abaqus软件的单元删除,是应用在abaqus软件后处理时,删除已经失效的单元(Unit for abaqus software delete application abaqus software processing, the unit has failed to delete)
    2013-01-25 09:00:47下载
    积分:1
  • UDP-Video-Transfer-master
    python实现实时视频流传输和显示,从客户端到服务器端(Python implements real-time video streaming transmission and display from client to server)
    2021-03-19 23:19:18下载
    积分:1
  • adaboost
    AdaBoost元算法属于boosting系统融合方法中最流行的一种,说白了就是一种串行训练并且最后加权累加的系统融合方法。 具体的流程是:每一个训练样例都赋予相同的权重,并且权重满足归一化,经过第一个分类器分类之后, 计算第一个分类器的权重alpha值,并且更新每一个训练样例的权重,然后再进行第二个分类器的训练,相同的方法....... 直到错误率为0或者达到指定的训练轮数,其中最后预测的标签计算是各系统*alpha的加权和,然后sign(预测值)。 可以看出,训练流程是串行的,并且训练样例的权重是一直在变化的,分错的样本的权重不断加大,正确的样本的权重不断减小。 AdaBoost元算法是boosting中流行的一种,还有其他的系统融合的方法,比如bagging方法以及随机森林。 对于非均衡样本的处理,一般可以通过欠抽样(undersampling)或者过抽样(oversampling),欠抽样是削减样本的数目, 过抽样是重复的选取某些样本,最好的方法是两种进行结合的方法。 同时可以通过删除离决策边界比较远的样例。 (AdaBoost boosting systems dollar fusion algorithm is the most popular one, it plainly systems integration approach is a serial train and final weighted cumulative. Specific process is: Each training example is given equal weight, and the weights satisfy normalization, after the first classifiers after Calculating a first classifier weights alpha value for each sample and updates right weight training, and then the second classifier training, the same way ....... 0, or until the specified error rate training rounds, wherein the label is the calculation of the final prediction system* alpha weighted and then sign (predicted value). As can be seen, the training process is serial, and weight training examples is always changing, the right of the wrong sample weight continued to increase, the right to correct sample weight decreasing. AdaBoost algorithm is an element, as well as other methods of boosting popular systems integration, such as bagging and random forest method. For )
    2014-07-09 19:24:29下载
    积分:1
  • 机器学习23
    说明:  机器学习的一项作业,仅供参考,主要KNN、逻辑回归、SVM、mlp、cnn、朴素贝叶斯的分类器性能的比较(An assignment of machine learning for reference only)
    2020-07-06 23:08:57下载
    积分:1
  • 利用蚁群算法解决多旅行商问题
    说明:  Python入门学习,利用蚁群算法解决多旅行商问题,适合入门者学习(freshman for python learning.. how to use ant colony algorithm to solve TSP problem)
    2019-04-12 17:57:22下载
    积分:1
  • 696518资源总数
  • 105282会员总数
  • 11今日下载