-
netlab
这是包含pca和ppca等诸多源程序的工具箱，希望大家喜欢。(This is the PCA and PPCA includes many source code of the toolbox, I hope everyone likes.)
- 2007-11-08 21:04:08下载
- 积分：1
-
MATLAB-
matlab图像增强程序举例图像增强程序举例(Matlab image enhancement, for example)
- 2013-03-15 16:34:05下载
- 积分：1
-
Haykin-PPT--exercise-solution
神经网络与机器学习--Simon Haykin中的PPT的练习题答案(Neural Networks and Machine Learning- Simon Haykin exercises in answer to the PPT)
- 2014-01-22 11:46:57下载
- 积分：1
-
opt
计算二维无约束优化的Powell法和坐标轮换法,以及一维搜索的黄金分割法和搜索区间确定的两个子程序.(Calculation of two-dimensional unconstrained optimization method of Powell and coordinate rotation method, as well as one-dimensional search of the golden section method and the search interval determined by the two subroutines.)
- 2007-11-16 07:34:38下载
- 积分：1
-
TRETE
完美非均匀质量载荷压电薄膜，这是一个MATLAB程序，可以运行。(Perfect non-uniform mass loading piezoelectric film, which is a MATLAB program that can run.)
- 2013-12-02 09:48:46下载
- 积分：1
-
LDPCBSN
LDPC码既低密度奇偶校验码（Low Density Parity Check Code，LDPC），它由Robert G.Gallager博士于1963年提出的一类具有稀疏校验矩阵的线性分组码，不仅有逼近Shannon限的良好性能，而且译码复杂度较低, 结构灵活，是近年信道编码领域的研究热点，目前已广泛应用于深空通信、光纤通信、卫星数字视频和音频广播等领域。LDPC码已成为第四代通信系统(4G)
(LDPC codes BER simulation under AWGN channel. MacKay-Neal based LDPC matrix. Message encoding uses sparse LU decomposition. There are 4 choices of decoder: hard-decision/bit-flip decoder, probability-domain SPA decoder, log-domain SPA decoder, and simplified log-domain SPA decoder.)
- 2009-03-14 11:01:22下载
- 积分：1
-
lingo-example-4
lingo 程序，此为工件排序的代码,可以归为运筹学的时间序列问题。(lingo （how to range）)
- 2011-08-23 11:36:52下载
- 积分：1
-
平衡车gui
一阶倒立摆，GUI仿真，源程序说明，模型制作方法及图片(First order inverted pendulum, GUI simulation, source program, model making methods and pictures.)
- 2021-04-25 11:48:46下载
- 积分：1
-
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
-
wireless-commun.channel-model
无线通信信道仿真模型，包括加性高斯白噪声信道和衰落信道。(wireless communication channel simulation model, include additive white Gaussian noise channel and fading channel)
- 2012-11-13 20:03:05下载
- 积分：1
|
联系客服（QQ：3324461878）
