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My_HermitePolynomial
计算高斯Hermite多项式的Matlab程序，并绘制2维和3为高斯Hermite多项式图。(Gaussian Hermite polynomial calculation Matlab program, and draw two-dimensional and three Gaussian Hermite polynomial map.)
- 2013-11-02 16:54:35下载
- 积分：1
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yxgz
可以求解系统的亚谐波共振,例如求解轧机振动系统的1/3亚谐波共振(You can solve the sub-harmonic resonance system)
- 2013-12-27 19:47:02下载
- 积分：1
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txt2BinttQ
text to binary converter
- 2010-07-08 00:24:43下载
- 积分：1
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xor
XOR问题是神经网络里面一个经典的问题，本例子使用Matlab自编SVM对XOR问题进行解决~(XOR problem is a classical neural network inside the issue, the examples of the use of Matlab for self-SVM to solve the XOR problem ~)
- 2008-07-23 16:21:44下载
- 积分：1
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zjj
使用matlab的仿真平台simulink来实现直接序列扩频码变换为双极性码的转换
(Matlab simulation using simulink platform to achieve the direct sequence spread spectrum code transformation for bipolar code conversion)
- 2008-06-11 10:47:55下载
- 积分：1
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Fuzzy-SAF
Fuzzy Logic Controller Based Three-phase Shunt Active Filter for Line Harmonics Reduction using matlab simulation
- 2011-04-21 22:30:44下载
- 积分：1
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vector_control
关于矢量控制仿真模型，大家可以参照做自己的模型(On vector control simulation model, we can refer to do his own model)
- 2012-06-18 11:37:13下载
- 积分：1
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COAToolBox_coasite.info
COA Toolbox for matlab
- 2013-02-26 21:37:42下载
- 积分：1
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main_beta_1021
imu和视觉里程计 kalman滤波器 进行融合(imu VO fusion)
- 2020-07-02 08:00:02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
