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fuz
模糊数学实验指导书,书中讲述了matlab编程实现了聚类分析以及多目标规划等问题，具有很好的指导意义(Fuzzy mathematics experimental guide book about the programming matlab realize the cluster analysis and multi-objective planning problem, has a good guide)
- 2008-06-10 22:04:31下载
- 积分：1
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recored
语音信号的处理，包括录音，短时能量，同态滤波等(Speech signal processing, including recording, short-term energy, homomorphic filtering)
- 2013-05-22 21:31:40下载
- 积分：1
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Kmeans
量化程序，采用标准的Loyd-Max algorithm，提供了一个实例，并对结果进行了分析。很有学习的价值。(Quantification procedures, the use of standard Loyd-Max algorithm, provides an example of the results are analyzed. Great learning value.)
- 2007-10-28 02:13:56下载
- 积分：1
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huisexitong
灰色系统gm（1，1）模型的matlab程序，可以用于灰色预测。(Grey gm (1,1) model matlab program can be used for gray prediction.)
- 2010-09-20 15:08:34下载
- 积分：1
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retinex
Retinex in Matlab
MATLAB implementations of two of the spatial techniques of making pixel comparisons(Many different descriptions of retinex methods of lightness computation exist. )
- 2010-10-06 22:58:30下载
- 积分：1
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exm1053_1
本例演示：如何依靠图形窗 UserData 属性在递归调用中传送用户控件的图柄，保证回调动作正确执行。(demonstration of the cases : how to rely on graphics window UserData attribute in the recursive call to transfer control of the map user handles, callback action to ensure correct implementation.)
- 2006-07-12 10:47:55下载
- 积分：1
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Low-Pass-Filter
simple problem(sonar) low pass filter
- 2012-05-09 19:50:49下载
- 积分：1
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MatLab_Programs
无线通信信道测试的MATLAB仿真算法和其验证(wireless communication channel test MATLAB simulation algorithm and its certification)
- 2007-03-20 11:53:30下载
- 积分：1
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eg1OC
最优控制教程，里面详述了不同最优控制方法的解决方法(Optimal control tutorial)
- 2012-07-12 23:29:35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
