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zsxjf
最速下降法 功能比较简单 附有输入参数的说明 程序的运行结果说明 可读性强 适合初学者(The steepest descent method function is relatively simple series of)
- 2013-05-21 22:39:17下载
- 积分:1
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Cooperative-Diversity-in-Wireless-Networks
Cooperative Diversity in Wireless Networks. show big benefit from results when the relay is located between the sender and the destination
- 2011-11-20 15:56:09下载
- 积分:1
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Inversa
traonformada inversa de fourirer imagenes
- 2009-06-01 10:07:21下载
- 积分:1
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BP_neural_network
说明: 可以使用BP神经网络对矩阵形式的数据进行训练,并且进行数据预测,代码注释详细(BP neural network can be used to train the data in matrix form, predict the data, and annotate the code in detail)
- 2020-01-28 10:34:08下载
- 积分:1
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BP1_txt
利用BP分类器对烟雾图像进行识别,并将结果存储到TXT文档中。(BP classifier use smoke image recognition, and stores the result TXT document.)
- 2014-01-15 15:51:25下载
- 积分:1
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Heed-matlab.m
HEED的分簇算法的matlab代码,注释详细,对初学WSN协议的同学很大帮助。(HEED clustering algorithm matlab code, detailed notes for the students of great help beginners WSN protocol)
- 2014-01-20 17:18:56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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psatsoft
PSAT软件包,基于matlab的电力系统分析软件,包括程序和说明(PSAT software package, based on the matlab power system analysis software, including the procedures and instructions)
- 2011-11-03 22:14:42下载
- 积分:1
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Heat_Equation
基于偏微分方程(PDE)的热传导方程滤波的matlab实现(based on partial differential equations (PDE) of the heat conduction Filter Implementation of Matlab)
- 2006-10-12 09:38:09下载
- 积分:1
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SpeechRec
语音识别,运用DTW算法,UI界面显示。(Speech recognition, using DTW algorithm, UI interface display.)
- 2018-04-22 08:57:49下载
- 积分:1