登录
首页 » PowerBuilder » PB-OLE

PB-OLE

于 2014-08-14 发布 文件大小:19KB
0 293
下载积分: 1 下载次数: 4

代码说明:

  pb的ole编程技术,OLE,全称Object Linking and Embedding,即对象链接和嵌入技术,是Windows系统中允许应用程序共享数据和程序功能的一种标准的便利方法。(Object Linking and Embedding)

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

  • MATlAB
    应用MATlAB语言处理数字信号与数字图像,从书中提取出來的不分,对初学者来说很不国!(Application of MATLAB language processing digital signals and digital images, extracted from the book, with no distinction, for beginners is not the country!)
    2007-09-24 11:50:44下载
    积分:1
  • DSP
    digital signal prossing
    2010-10-09 23:11:11下载
    积分:1
  • phase_graphic
    相空间重构,以及绘制相空间图. 程序并不复杂,但运行效果良好.(phase reconstitution, and phase graphic mapping.)
    2010-03-08 13:07:51下载
    积分:1
  • ar(5)
    一个五阶的自回归短期预测模型的MATLAB程序(A AUTOREGRESSion model used to prediction)
    2011-05-10 11:49:10下载
    积分:1
  • fi008
    相关分析过程的matlab方法,针对EMD方法的不足,自己编的5种调制信号。( Correlation analysis process matlab method, For lack of EMD, Own five modulation signal.)
    2017-04-22 19:52:42下载
    积分:1
  • main_FFT
    采用经典FFT算法对dqpsk信号进行频率估计,并在高斯信道下绘制估计结果图。(The classical FFT algorithm is used to estimate the frequency of DQPSK signal, and the estimation result graph is drawn in the Gaussian channel.)
    2018-10-09 16:34:40下载
    积分:1
  • motiontest
    motion退化函数的matlab实现 脚本,自己定参数(Implementation of motion degradation function)
    2010-12-13 23:15:20下载
    积分:1
  • serial-concatenation-of-repetition-code-and-FQPSK
    说明:  FQPSK与简单重复码的迭代译码,简单重复码做为外码(serial concatenation of repetition code and FQPSK ,in which repetition code is the out code)
    2010-04-15 11:23:39下载
    积分:1
  • matlab&c(2)
    说明:  《精通Matlab与C/C++混合程序设计》( 第二章) 刘维编著("proficient Matlab and C/C mixed Program Design" (Chapter II) Liu compilation)
    2006-03-28 23:08:51下载
    积分:1
  • shenjingwangluo
    T=[1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] 输入向量的最大值和最小值 threshold=[0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net=newff(threshold,[31 3],{ tansig , logsig }, trainlm ) 训练次数为1000,训练目标为0.01,学习速率为0.1 net.trainParam.epochs=1000 net.trainParam.goal=0.01 LP.lr=0.1 net = train(net,P,T) 测试数据,和训练数据不一致 P_test=[0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 (T = [1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1 0 0 0 1 0 0 1 0 0 1] ' of the maximum and minimum input vector threshold = [0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1] net = newff (threshold, [31 3], {' tansig' , ' logsig' }, ' trainlm' ) training times for the 1000 target of 0.01 training, learning rate of 0.1 net.trainParam.epochs = 1000 net. trainParam.goal = 0.01 LP.lr = 0.1 net = train (net, P, T) test data, and training data inconsistencies P_test = [0.2101 0.0950 0.1298 0.1359 0.2601 0.1001 0.0753 0.0890 0.0389 0.1451 0.0128 0.1590 0.2452 0.0512 0.1319 0.2593 0.1800 0.0711 0.2801 0.1501 0.1298 0.1001 0.1891 0.2531 0.0875 0.0058 0.1803 0.0992 0.0802 0.1002 )
    2011-05-21 16:47:44下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载