登录
首页 » matlab » without_loss_input

without_loss_input

于 2014-12-10 发布 文件大小:1KB
0 147
下载积分: 1 下载次数: 4

代码说明:

  economic dispatch method with losses

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

  • One_Dimensional_PML
    programme matlab 1D pml
    2010-05-06 21:44:01下载
    积分:1
  • seisplot
    用于画地震波形图,用变面积方式显示波形,使波形变得美观(For drawing a seismic waveforms with variable area display waveform, the waveform becomes beautiful)
    2020-09-08 20:58:01下载
    积分:1
  • matlabcode
    this is a matlab code for an ieee paper named color image enhancement without gamut problem by naik(indian).
    2009-04-04 21:07:12下载
    积分:1
  • matlab
    matlab program to practice
    2010-11-10 11:16:03下载
    积分:1
  • parallel_and_series_coeficients
    Matlab code for parallel and series coeficients modules used in comb and allpass filters
    2009-05-26 01:48:00下载
    积分:1
  • dsb
    本次上传的代码为双边带抑制载波的matlab算法(From this code for bilateral rejection carrier matlab algorithm)
    2008-06-21 15:47:39下载
    积分:1
  • env2
    滚动轴承故障诊断的FFT分析,用故障诊断软件采集的一组数据进行分析(FFT analysis of the rolling bearing fault diagnosis, a set of data collected with the fault diagnosis software to analyze)
    2012-06-23 21:03:25下载
    积分:1
  • The-standard-PSO-source-code
    MATLAB pso标准微粒群算法源程序代码(MATLAB The standard PSO source code)
    2013-07-25 23:10:10下载
    积分:1
  • MED
    A Study of Bias Correction Methods for Enhancing Median Edge Detector Prediction
    2012-10-11 23:07:04下载
    积分:1
  • Fcm
    FCM Data set clustering using fuzzy c-means clustering. [CENTER, U, OBJ_FCN] = FCM(DATA, N_CLUSTER) finds N_CLUSTER number of clusters in the data set DATA. DATA is size M-by-N, where M is the number of data points and N is the number of coordinates for each data point. The coordinates for each cluster center are returned in the rows of the matrix CENTER. The membership function matrix U contains the grade of membership of each DATA point in each cluster. The values 0 and 1 indicate no membership and full membership respectively. Grades between 0 and 1 indicate that the data point has partial membership in a cluster. At each iteration, an objective function is minimized to find the best location for the clusters and its values are returned in OBJ_FCN.
    2013-04-21 07:30:57下载
    积分:1
  • 696518资源总数
  • 105540会员总数
  • 37今日下载