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imunity_pso
带免疫功能的粒子群算法，在matlab环境实现。(With immune function of particle swarm optimization, in the matlab environment realize.)
- 2021-04-11 10:38:58下载
- 积分：1
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filters
filter design of the wavelet
- 2011-04-25 14:26:27下载
- 积分：1
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TorontoDeepLearning-convnet-981771b
深度学习模型代码，包括rbm,grbm,卷积rbm，学习深度模型的好材料(Deep learning model code, including RBM, grbm, RBM convolutional depth model, a good learning materials)
- 2014-12-01 13:47:14下载
- 积分：1
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lineint
calculating the line integral contour of the iris and pupil boundaries. this fuction is used in the daugman approach of iris localization.
- 2009-02-26 18:57:25下载
- 积分：1
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npsk
对于npsk的调制和解调方案，修改n的值就可以得到各种psk的效果(Modulation and demodulation for npsk program, modify the value of n can be the effect of various psk)
- 2021-03-31 18:49:09下载
- 积分：1
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finknudem-(2)
Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1]
Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving.
The algorithm is patented in the US the owner is the University of British Columbia.
- 2014-10-15 13:10:02下载
- 积分：1
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gongetidufadshuzhixingzhi
共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一。 在各种优化算法中，共轭梯度法是非常重要的一种。其优点是所需存储量小，具有步收敛性，稳定性高，而且不需要任何外来参数(Conjugate Gradient method (Conjugate Gradient) is between the steepest descent method between Newton method and a method, it only USES a derivative information, but overcome the steepest descent method slow convergence of weakness, but also avoid the Newton law needs to storage and computing Hesse inverse matrix and shortcomings, Conjugate Gradient method is not only solve linear equations with most of the large method, and also one of the most effective solution large nonlinear optimization of one of the algorithm. In all kinds of optimization algorithm, the conjugate gradient method is very important. Its advantage is the storage capacity needed, it has small step convergence, high stability, and doesn t require any exotic parameters numerical experiment, this is the modern scientific computing of the answer above problem sets)
- 2012-03-26 18:48:46下载
- 积分：1
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Unconstrain
无约束多维极值问题,适合数学计算,优化分析等极值问题的求解(Unconstrained multi-dimensional extremum problem, is suitable for mathematical calculations, the extremum problems of solving optimization analysis, etc
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- 2013-07-16 15:56:17下载
- 积分：1
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ribbondemo_src
Ribbon frome codeproject
- 2015-03-11 18:07:14下载
- 积分：1
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mnfz
IEC闪变测试系统 基于MATLAB 实现 SIMULINK(IEC flicker test)
- 2009-04-13 19:47:21下载
- 积分：1
