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This_carte_ViaccessPC2_to_pc2.6
HOW TO Modify Viaccess2.3_to_Viaccess2.6
- 2010-09-11 22:09:55下载
- 积分：1
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MATLABduquCSVwenjian
使用matlab读取CSV文件，本例能够很好的对其读取方法进行展示，给学习带来帮助 (Using matlab to read CSV file, in this case to read a good method of its display, to bring help to learn)
- 2010-10-14 11:18:48下载
- 积分：1
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2011B
建模2011A程序源代码的一部分，欢迎大家下载(Traffic flow problem)
- 2017-08-30 23:07:47下载
- 积分：1
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dfigtwo
说明： 双风电机组运行，符合国标的690v,带升压变压器，并入220kv交流大电网(dfig 690v and 220kvtransform)
- 2020-02-20 18:01:18下载
- 积分：1
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gatbx
遗传代码遗传代码遗传代码遗传代码遗传代码遗传代码遗传代码遗传代码遗传代码遗传代码(Genetic code genetic code genetic code genetic code genetic code genetic code genetic code genetic code genetic code genetic code)
- 2013-09-06 18:24:10下载
- 积分：1
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HEV_SerieParllel
Hybrid vehicle system modelling through simuliknk/Maltab
- 2015-01-07 15:05:58下载
- 积分：1
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shuzhifenxi
研究生数值分析课程考试题型的matlab源程序(Graduate numerical analysis course exam questions matlab source)
- 2013-05-14 14:27:27下载
- 积分：1
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Degree_Distribution
复杂网络中，对度分布特征的程序，源数据是邻接矩阵，运行简单，可得出两张图。(complex network, the degree distribution,and it is good job,you can get two graph)
- 2013-12-16 16:52:57下载
- 积分：1
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BodeGui
在Matlab中可以使用的波特图的例子源码，直接打开即可。(Source codes of Bode Plot in Matlab.)
- 2009-04-23 23:15:28下载
- 积分：1
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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
