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yxcSVMtrain
irisData is 150x5.
row:
Sepal.Length Sepal.Width Petal.Length Petal.Width Group(1,2,or 3)
the first 50x5 is Isis-setosa(1),
the second 50x5 is Isis-versicolor(2),
the last 50x5 is Isis-virginica(3).
!!! Caution !!!
X(50 + 21, :) equals X(50 + 50 + 27, :), but Y(50 + 50 + 21) DOESNOT equal Y(50 + 50 + 27)!
So the algorithm will NEVER be 100 correct.
- 2010-07-26 18:34:43下载
- 积分：1
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n
说明： this programs gives the details about nearest interpolton with visual clarity
- 2010-08-31 01:41:20下载
- 积分：1
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image_implementation_-Matlab
基于Matlab实现的数字图像处理教程，具有极强的参考价值。是从数字图像处理到机器视觉的进阶之路。(A textbook of Digital Image Processing,implemented by employing Matlab, a top language of Image Processing)
- 2011-05-21 22:25:57下载
- 积分：1
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BP神经网络源代码 PSOBP
包含两个部分：1传统粒子群算法优化BP神经网络 2改进的粒子群算法优化BP神经网络源代码(It consists of two parts: a traditional particle swarm optimization BP neural network 2 Improved particle swarm optimization BP neural network source code)
- 2020-07-04 11:40:02下载
- 积分：1
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GLVQBP-FOR-clustering
GLVQ neural network, this method is suitable for the two classification results of data processing
- 2014-02-15 08:48:47下载
- 积分：1
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matalb
matlab source code for wired bpsk
- 2010-07-28 13:49:53下载
- 积分：1
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MATLAB_create_Word_Excel
在MATLAB 中操作和生成TXT 和XLS文件，写的很详细，有参考和学习价值(To operate and generate in MATLAB TXT and XLS files, written in great detail, with reference to and learning the value of)
- 2011-01-05 14:21:58下载
- 积分：1
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Relevance-Vector-Machine
说明： 相关向量机（Relevance Vector Machine，简称RVM）是Micnacl E.Tipping于2000年提出的一种与SVM（Support Vector Machine）类似的稀疏概率模型，是一种新的监督学习方法。
它的训练是在贝叶斯框架下进行的，在先验参数的结构下基于主动相关决策理论（automatic relevance determination，简称ARD）来移除不相关的点，从而获得稀疏化的模型。在样本数据的迭代学习过程中，大部分参数的后验分布趋于零，与预测值无关，那些非零参数对应的点被称作相关向量（Relevance Vectors），体现了数据中最核心的特征。同支持向量机相比，相关向量机最大的优点就是极大地减少了核函数的计算量，并且也克服了所选核函数必须满足Mercer条件的缺点。(Relevance Vector Machine (RVM) is a sparse probability model similar to SVM (Support Vector Machine) proposed by Micnacl E. Tipping in 2000. It is a new supervised learning method.
Its training is carried out under the Bayesian framework. Under the structure of prior parameters, it is based on Automatic Relevance Determination (ARD) to remove the irrelevant points, so as to obtain the sparse model. In the iterative learning process of sample data, the posterior distribution of most parameters tends to zero, which is independent of the predicted value. The points corresponding to non-zero parameters are called Relevance Vectors, which represent the most core features of the data. Compared with support vector machine, the biggest advantage of correlation vector machine is that it greatly reduces the computation amount of kernel function, and also overcomes the shortcoming that the selected kernel function must meet Mercer's condition.)
- 2021-03-23 21:20:53下载
- 积分：1
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OpenTSTOOL_win
时间序列分析的信号处理MATLAB工具包，尤其针对混沌系统的计算。(Time series analysis of the signal processing MATLAB tool kit, especially for the calculation of chaotic systems.)
- 2008-04-03 15:08:55下载
- 积分：1
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51622468radar_MATLAB_Code
说明： MATLAB中许多好用的东西，你要记下来了啊(Useful things)
- 2010-05-03 14:04:03下载
- 积分：1
