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opt-aiNet
免疫网络优化程序，用于多峰函数优化，精度高，收敛性好(Immune network optimization program for multimodal function optimization, high accuracy, good convergence)
- 2011-05-19 16:15:40下载
- 积分：1
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PCA_BASED
PCA Based implementation souce code
- 2011-07-15 01:59:33下载
- 积分：1
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lvq_apple
根据苹果参数的不同，进行苹果等级的分类，并且对照实际期望值进行对网络的检验(The different parameters according to Apple, the Apple level of classification)
- 2011-11-30 20:35:12下载
- 积分：1
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PVandbatery
这是一个光伏发电装置与蓄电池构成的新能源发电系统。光伏发电采用典型二级升压结构，并采用最大功率点追踪（MPPT）以获取最大功率(This is a new energy generation system consisting of photovoltaic devices and batteries. Photovoltaic power generation uses a typical two-stage boost structure and uses maximum power point tracking (MPPT) to obtain maximum power.)
- 2018-09-13 18:53:02下载
- 积分：1
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zhifangtujunhenghuablack
这是一个天空背景下的目标提取的程序，希望对需要的同学有所帮助(zhifangtujunhenghuablack)
- 2010-01-01 21:05:44下载
- 积分：1
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LTE_channel_estimation
说明： 有关LTE信道估计的硕士论文。主要讲上行信道的估计算法和实现(Master s thesis for LTE channel estimation)
- 2011-02-17 22:36:26下载
- 积分：1
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loop
一个运动员在用脚颠球，是一个动画程序，球员画的很一般(An athlete in their feet Dianqiu, is an animation program, the players draw very general)
- 2011-10-30 10:14:23下载
- 积分：1
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WienerScalart96
维纳滤波法语音增强，为函数文件，需要另外一个脚本调用，形参格式参照文件第一行。(Wiener filtering speech enhancement, as a function of the file, you need to call another script, parameter format, refer to file the first line.)
- 2011-11-19 12:46:39下载
- 积分：1
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alomouti_MIMO
Alamouti Code to achieve diversity without channel knowledg at the
transmitter
It is assumed that system contains 2 transmit antennas and one receive
antenna.
- 2015-03-10 03:57:26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
