登录
首页 » Python » 通过模型决定系数完成支持向量机参数优化 SVR_fitting

通过模型决定系数完成支持向量机参数优化 SVR_fitting

于 2020-06-16 发布
0 346
下载积分: 1 下载次数: 3

代码说明:

说明:  通过模型决定系数完成支持向量机参数优化,并建立基于大数据的支持向量机模型实现回归拟合(The parameters of SVM are optimized by the coefficient determined by the model, and the regression fitting is realized by the support vector machine model based on big data)

文件列表:

SVR_fitting.py, 5741 , 2019-08-29

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

  • newTon.m
    牛顿插值法进行多项式逼近,matlab编译成功,直接可用(Newton interpolation polynomial approximation method, matlab compiled successfully, directly available)
    2013-07-09 13:33:06下载
    积分:1
  • feappv31
    feap 有限元程序,国外某大学的开源程序(feap finite element program)
    2014-01-01 20:10:54下载
    积分:1
  • thermal-damage-abaqus-umat
    thermal damage abaqus-umat subroutine
    2020-10-26 22:29:59下载
    积分:1
  • Desktop
    非线性光学书后程序,分布求解,参考作用研究问题不同,方程不同(Nonlinear Optics Post-book Procedure)
    2019-06-11 18:34:06下载
    积分:1
  • fmincon
    求解非线性方程。调用格式x=fmincon(fun,x0,A,b,Aeq,beq,VLB,VUB)(For solving nonlinear equations. Call the format x = fmincon (fun, x0, A, b, Aeq, beq, VLB, VUB))
    2009-09-06 13:18:25下载
    积分:1
  • oymwhss
    基于声纳信息的粒子滤波算法,可以利用声纳信息和不完全环境信息通过该算法完成机器人的自定位过程,本例是在原有基础上的改进,(Particle filter algorithm based on sonar information can use sonar information and incomplete environment information to complete the self-localization process of robot. This example is an improvement on the original basis.)
    2018-11-14 17:22:40下载
    积分:1
  • lyapunov_wolf
    lyapunov指数求解,采用wolf法,计算速度极快(lyapunov Index solving, using wolf law, the calculation speed)
    2007-10-08 09:49:07下载
    积分:1
  • Unconstrained-directly
    基于GWBASIC实现的无约束寻优算法,内附GWBASIC主程序和说明(Non-binding on GWBASIC achieve optimization algorithm, the main program and instructions included GWBASIC)
    2011-09-25 19:18:07下载
    积分:1
  • mpi-course
    陈国良并行算法实践 -mpi源程序 《并行算法的设计与分析》(parallel computing mpi)
    2020-11-02 10:59:53下载
    积分:1
  • k-means-clustering
    用C语言程序通过先随机选取K个对象作为初始的聚类中心。然后计算每个对象与各个种子聚类中心之间的距离,把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。一旦全部对象都被分配了,每个聚类的聚类中心会根据聚类中现有的对象被重新计算。(C Programming Language by first randomly selected the K object as initial cluster centers. And then calculate the distance between each object and each seed cluster center, and assign each object to its nearest cluster center. Cluster centers, and the object assigned to them on behalf of a clustering. Once all the objects are assigned to each cluster cluster centers will be based on the existing object clustering is recalculated.)
    2012-09-20 11:50:09下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载