-
buck_boost
基于平均法的buck_boost型DC/DC建模步骤，包括电压模和峰值电流模。增加了误差放大器放大倍数的确定，电源调整率，负载调整率和三种变换器的一阶等效模型(Based on the average law buck_boost type DC/DC modeling steps, including the voltage mode and peak current mode. An increase of the error amplifier to determine the magnification, adjust the rate of power supply, load-adjusted factor and three first-order equivalent converter model)
- 2020-07-04 13:00:02下载
- 积分：1
-
matlab
说明： 车牌处理，基于matlab的图像处理方法(Plate processing, image processing method based on matlab)
- 2011-04-14 15:43:50下载
- 积分：1
-
thesecondgeneratiowaveletmatlab
这是我从其他网站下载的源程序，希望对大家有所帮助，但是不知道要上传多少才能下载丫？(This is my downloaded from other websites of the source, and I hope to help everyone, But we do not know how much can upload download center?)
- 2006-12-18 17:13:24下载
- 积分：1
-
Chapter-14
基于小波神经网络matlab程序设计曲线拟合(Curve fitting matlab program based on wavelet neural network design)
- 2012-07-21 19:09:20下载
- 积分：1
-
ndh
牛顿环的干涉条纹，灰度图，含有反射图样和透射图样(Newton' s rings interference fringes, grayscale, with reflection and transmission pattern pattern)
- 2013-10-17 14:50:48下载
- 积分：1
-
RefProp-8
refprop是一款用matlab调用的制冷剂物性查询软件，这里用matlab调用。(
refprop is the refrigerant physical properties of the query software, a call using matlab using matlab call. )
- 2012-02-25 18:10:38下载
- 积分：1
-
Kalman
Kalman filter application
- 2009-10-30 23:54:04下载
- 积分：1
-
yuyin
基于MATLAB下的语音识别系统，介绍了具体的实现过程，并采用离散马尔科夫模型(Based on MATLAB of speech recognition system, introduced the realization process and discrete markov model)
- 2010-11-27 11:25:25下载
- 积分：1
-
TimeSeriesPredictionUsingSupportVectorRegressionNe
为了选择神经网络的最好结构以及增强模型的推广能力，提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值， 白适应地生
成网络隐层结点，然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权 主。 SVR—NN有很
好的收敛性和鲁棒性，能抑制由于数据异常和参数选择不当所导致的“过拟合，’现象。将SVR—NN
应用到时间序列预测上。结果表明，SVR．NN预测模型能精确地预测混沌时间序列，具有很好的
理论和应用价值。(Abstract：To select the‘best’structure of the neural networks and enhance the generalization ability of models．a support
vector regression neural networks fSVR-NN)was proposed．Firstly，support vector regression approach was applied to
determine initial structure and initial weights of SVR．NN SO that the number of hidden layer nodes can be constructed
adaptively based on support vectors．Furthermore，an annealing robust learning algorithm was further presented to fine
tune the hidden node parameters and weights of SVR一ⅣM The adaptive SVR．NN has faSt convergence speed and robust
capability．and it can also suppress the ‘orerfitting’phenomena when the train data ncludes outliers．The adaptive
SVR．NN was then applied to time series prediction．Experimental results show that the adaptive SVR．ⅣⅣ can accurately
predict chaotic time series，and it iS valuable in both theory and application aspects．)
- 2010-01-21 21:20:26下载
- 积分：1
-
Ica-to-face
The above file show the Independent componets analysis used in face recognisation
- 2013-08-09 15:28:08下载
- 积分：1
