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dissertationlsthesudyofgaborwavel
本文 主 要 研究的是Gab。:小波神经网络算法及其在灰度图像目标识别
中的应用。研究涉及神经网络理论、小波分析理论和小波神经网络理论及其
它们在目标识别中的应用技术。(The main research of this paper is Gab. : wavelet neural network algorithm and its application in gray image target recognition
In the application of. Research involving neural network theory, the theory of wavelet analysis and wavelet neural network theory and its
Their application in target recognition.)
- 2014-08-18 10:13:29下载
- 积分：1
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leach
leach协议簇头选择算法的改进及仿真
在改进的LEACH．H协议在簇头节点的选举过
程中，充分考虑了簇头节点剩余能量因素，设定了簇头的能量阀值，防止了低能量的节点成为簇头。在此基础上引
进簇头调整过程，该过程通过排除紧密邻居簇头和增加必要的簇头，在一定程度上解决了LEACH协议存在的问题，
从而达到均衡网络能量消耗，延长生存期的目的。网络仿真证明了新算法的可行性。
(An Improved Algorithm for Selecting Cluster-heads in LEACH)
- 2021-03-15 10:39:22下载
- 积分：1
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RBF-neuro-network
Radius Basic Function 神经网络的预测程序(Radius Basic Function neural network prediction program)
- 2011-10-17 17:11:51下载
- 积分：1
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DTC
直接转矩控制系统的研究与仿真，对异步电机进行直接转矩控制的matlab仿真(DTC)
- 2010-07-11 14:08:09下载
- 积分：1
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toolbox_fast_marching
The goals of this tool is to manipulate the fast marching algorithm in 2D and 3D. Application to shortest path extraction (e.g. road tracking and tubular structure extraction in medical images), shape statistics and geodesic remeshing are presented.(The goals of this tool is to manipulate the fast marching algorithm in 2D and 3D. Application to shortest path extraction (eg road tracking and tubular structure extraction in medical images), shape statistics and geodesic remeshing are presented.)
- 2007-12-17 20:29:19下载
- 积分：1
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113172240LPRsystem
一篇介绍车牌识别的论文 很不错的哦
我学到了很多，希望大家也能有所收获(very good)
- 2010-05-13 15:05:54下载
- 积分：1
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time
通过不同的时间段去选择退出时间，这样有效的控制操作。 (limited time)
- 2014-11-19 15:15:25下载
- 积分：1
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liziqun_Matlab
粒子群算法的matlab实现，自己写的，对初学者有一定帮助(good for learning)
- 2013-11-29 12:17:59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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svdexp2
SVD去噪，构造的矩阵方法为对数据进行均匀分段，并对去噪前后的信噪比，均方差进行了对比。(SVD denoising, construction of the matrix method for the data sub-uniformity, and signal to noise ratio before and after denoising are compared variance.)
- 2008-04-23 09:07:51下载
- 积分：1
