-
newestadvancesinchaoticsecurecommunications
混沌保密通信的最新进展,混沌保密通信的最新进展(Chaotic secure communication of the latest developments in chaotic secure communication of the latest progress)
- 2008-01-30 21:14:22下载
- 积分:1
-
mp
说明: example of forward solution for rotating different kind of figure
- 2010-11-19 00:16:12下载
- 积分:1
-
HeluerMethod.tar
Implementation of Heuler methods. Implicit, Explicit and Simplex Versions. In Matlab. Approximates the solution of an expression.
Includes plotting routines.
- 2010-03-03 22:36:45下载
- 积分:1
-
ed
说明: edge detectoin using wavelet transform built in matlab for beguners and comprisions also.....
- 2012-04-05 14:05:29下载
- 积分:1
-
MATLAB-utility-100-cases
数学建模案例MATLAB实用程序百例,其中包括了matlab的入门教学,与一些经典的例子(包括源代码)。(Mathematical modeling case MATLAB utility 100 cases, including teaching matlab entry, with some classic examples (including source code).)
- 2013-08-14 22:26:51下载
- 积分:1
-
kalman
运通卡尔曼滤波器函数以及最小二乘法,对图像进行滤波,并将两种结果进行比较(Express and least squares method, kalman filter function of image filtering, and comparing the two results)
- 2015-04-14 22:28:51下载
- 积分:1
-
mmWave-MU-MIMO-master
说明: massive mimo multiwave
- 2021-03-06 21:59:29下载
- 积分:1
-
Heatexchanger
这个程序是我做“化工过程综合与优化”课程设计时编写的。主要用于换热器设计的计算,含有注释。 (This code can be used to design the heat exchanger.)
- 2010-08-03 22:56:33下载
- 积分:1
-
1553dules
说明: 分层模型的1553B总线通用软件模块的设计1553B bus, hierarchical model design of generic software modules(1553B bus, hierarchical model design of generic software modules)
- 2011-04-05 09:56:01下载
- 积分:1
-
perceptron
感知器感知器算法训练二元线性分类器。结构体数据使用感知器学习规则
找到给定的二分类标签数据超平面。
(PERCEPTRON Perceptron algorithm to train binary linear classifier.
Synopsis:
model = perceptron(data)
model = perceptron(data,options)
model = perceptron(data,options,init_model)
Description:
model = perceptron(data) uses the Perceptron learning rule
to find separating hyperplane from given binary labeled data.
model = perceptron(data,options) specifies stopping condition of
the algorithm in structure options:
.tmax [1x1]... maximal number of iterations.
If tmax==-1 then it only returns index (model.last_update)
of data vector which should be used by the algorithm for updating
the linear rule in the next iteration.
model = perceptron(data,options,init_model) specifies initial model
which must contain:
.W [dim x 1] ... normal vector.
.b [1x1] ... bias of hyperplane.
.t [1x1] (optional) ... iteration number.
Input:
data [struct] Labeled (binary) training data.
.X [dim x num)
- 2011-05-01 18:19:52下载
- 积分:1