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SACQPSO
SACQPSO优化函数 matlab编写 可以运行 有图仿真(SACQPSO matlab optimization function has prepared plans to run simulation)
- 2010-12-06 16:51:48下载
- 积分：1
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kfc
卡尔曼滤波，用以实现基本卡尔曼滤波的例程(Kallman filtering)
- 2010-01-16 23:38:33下载
- 积分：1
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mm1
单服务台排队理论，到达时间间隔和服务时间都服从指数分布(mm1)
- 2010-05-07 20:40:31下载
- 积分：1
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lpr
LPR sourecode with MATLAB
- 2012-05-23 15:18:45下载
- 积分：1
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pso-with-limitation
带有速度限制和种群限制的粒子群优化算法程序。matlab编写。(Populations with speed limits and restrictions on particle swarm optimization algorithm. matlab prepared.)
- 2013-07-24 04:10:46下载
- 积分：1
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adaboost
AdaBoost元算法属于boosting系统融合方法中最流行的一种，说白了就是一种串行训练并且最后加权累加的系统融合方法。
具体的流程是：每一个训练样例都赋予相同的权重，并且权重满足归一化，经过第一个分类器分类之后，
计算第一个分类器的权重alpha值，并且更新每一个训练样例的权重，然后再进行第二个分类器的训练，相同的方法.......
直到错误率为0或者达到指定的训练轮数，其中最后预测的标签计算是各系统*alpha的加权和，然后sign（预测值）。
可以看出，训练流程是串行的，并且训练样例的权重是一直在变化的，分错的样本的权重不断加大，正确的样本的权重不断减小。
AdaBoost元算法是boosting中流行的一种，还有其他的系统融合的方法，比如bagging方法以及随机森林。
对于非均衡样本的处理，一般可以通过欠抽样(undersampling)或者过抽样(oversampling)，欠抽样是削减样本的数目，
过抽样是重复的选取某些样本，最好的方法是两种进行结合的方法。
同时可以通过删除离决策边界比较远的样例。
(AdaBoost boosting systems dollar fusion algorithm is the most popular one, it plainly systems integration approach is a serial train and final weighted cumulative.
Specific process is: Each training example is given equal weight, and the weights satisfy normalization, after the first classifiers after
Calculating a first classifier weights alpha value for each sample and updates right weight training, and then the second classifier training, the same way .......
0, or until the specified error rate training rounds, wherein the label is the calculation of the final prediction system* alpha weighted and then sign (predicted value).
As can be seen, the training process is serial, and weight training examples is always changing, the right of the wrong sample weight continued to increase, the right to correct sample weight decreasing.
AdaBoost algorithm is an element, as well as other methods of boosting popular systems integration, such as bagging and random forest method.
For )
- 2014-07-09 19:24:29下载
- 积分：1
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acontour---july-5--2006(1)
Medicinal plants carry significant information for the development of human society and are considered as necessary resource for human well-being. Plants are of plenty of use as they form the base for food chain and a lot of medicines are derived plants. Plants are also vitally important for environmental protection. Two main plant aspects of plant taxonomy that play a vital role in these actions are the identification and classification of plants.
Plant Identification is the determination of the identity of an unknown plant in comparison with previously collected specimen. The process of recognition connects the specimen with a botanical name. Once this connection is established, related details like name and other properties of the plant can be easily obtained.
- 2015-03-16 15:53:08下载
- 积分：1
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OFDM_sys_FPGA
本压缩包包括OFDM系统的信道估计理论与matlab仿真程序两部分，其中m文件为仿真程序。(The archive includes OFDM system channel estimation theory matlab simulation program with two parts, one m file for the simulation program.)
- 2010-05-19 20:18:16下载
- 积分：1
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hpjmdtza
GPS和INS组合导航程序，构成不同频率的调制信号，利用自然梯度算法，验证可用，有较好的参考价值，用于信号特征提取、信号消噪，MIMO OFDM matlab仿真。( GPS and INS navigation program, Constituting the modulated signals of different frequencies, Use of natural gradient algorithm, Verification is available, There are good reference value, For feature extraction, signal de-noising, MIMO OFDM matlab simulation.)
- 2016-04-11 21:21:13下载
- 积分：1
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ZStackAPI2007
ZStackAPI2007 ZStackAPI2007
- 2010-12-20 07:31:25下载
- 积分：1
