登录
首页 » matlab » Paradoxobirth

Paradoxobirth

于 2014-09-12 发布 文件大小:1KB
0 184
下载积分: 1 下载次数: 3

代码说明:

  the birthday paradox

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

  • cobaqu
    this is programm for propagation that can help you to solve the case in propagation and transmission media fron transmitter to receiver. we can count link budget in propagation.
    2012-03-21 13:28:10下载
    积分:1
  • tsbbpso
    粒子群改进算法,有助于学生学习,可以在此基础上改进(Improved particle swarm algorithm to help students to learn, you can improve on this basis)
    2011-10-16 09:58:17下载
    积分:1
  • HSMM
    说明:  隐半马尔科夫模型matlab算法,改进的隐马尔可夫模型,增加了状态停留时间(hidden semi-markvo model Add state duration)
    2020-06-22 23:40:01下载
    积分:1
  • uwb
    有关uwb的程序,很有用的,是用matlab编的(Procedures for the uwb, very useful, is compiled matlab)
    2010-06-05 01:55:33下载
    积分:1
  • 11.7
    finite-time稳定控制算法,李雅普诺夫方法得出LMI算法,进而求出反馈增益矩阵(finite-time stability control algorithm)
    2013-12-25 15:31:10下载
    积分:1
  • HF
    说明:  一种脉振高频注入的永磁同步电机无传感器控制simulink仿真(Sensorless control simulink simulation of permanent magnet synchronous motor with pulsed high frequency injection)
    2020-10-29 21:29:58下载
    积分:1
  • Ten_classical_algorithm_of_mathematical_modeling
    数学建模十大经典算法,希望各位喜欢。请多多支持,多多下载!(Ten classical algorithm of mathematical modeling, I hope you like. Please support, a lot of downloads!)
    2010-12-17 10:07:31下载
    积分:1
  • Optical_Flow
    its really good code for optical flow estimation in image and video processing u can enjoy it
    2013-04-02 18:43:38下载
    积分:1
  • crbm_audio_r2
    cdbn.卷积深度信念网络用于声音识别。此代码为老外写的matlab代码(Cdbn. convolutional depth belief network for identification of sound. This code for a foreigner to write matlab code Cdbn. convolutional depth belief network for identification of sound. This code for a foreigner to write matlab code )
    2015-01-07 08:48:12下载
    积分:1
  • PNN
    概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出,是径向基网络的一个分支,属于前馈网络的一种。它具有如下优点:学习过程简单、训练速度快;分类更准确,容错性好等。从本质上说,它属于一种有监督的网络分类器,基于贝叶斯最小风险准则。(The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the feedforward networks. It has the following advantages: the learning process is simple, the training speed is fast, the classification is more accurate, the fault tolerance is good, and so on. In essence, it belongs to a supervised network classifier based on Bayesian minimum risk criteria.)
    2018-01-05 17:32:11下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载