-
WELL
它试图解决的问题,薄弱的标签是一个多学习一种新标签的问题,其中只有部分标签集与每个提供相关培训的例子(This package includes the MATLAB code of the multi-label learning algorithm WELL. It tries to deal with weak label problem which is a new kind of multi-label learning problem, where only a partial label set associated with each training example is provided. A Readme file and an example file are included in the package)
- 2010-12-18 20:47:29下载
- 积分:1
-
LTE-Link-Level-Simulator
说明: 长期演进链路级仿真:采取更低复杂度的算法,而且它是基于长期演进系统级仿真的基础上发展起来。(LTE abstracts the Physical layer for lower complexity and is based on the experience built on the LTE System Level simulator.)
- 2011-04-18 19:20:02下载
- 积分:1
-
SV8-Demo
实现定时控制,非常实用,可以直接调用,有需要的可以下载(Achieve timing control, very practical, you can directly call the need to be downloaded)
- 2013-12-31 09:46:41下载
- 积分:1
-
psoriasis粒子群
说明: 使用MATLAB实现的粒子群优化算法,得出函数的最优解(MATLAB particle swarm optimization algorithm is used to obtain the optimal solution of the function)
- 2019-11-18 21:28:34下载
- 积分:1
-
LS
说明: 阵列信号处理中常用的LS算法,用于估计目标的方位角等位置参数.(err)
- 2008-06-17 22:11:10下载
- 积分:1
-
moead
知识进化多目标领域的一篇经典之作,已被同行广泛认同,相信给大家的学习和研究会带来帮组,欢迎下载!(Knowledge of a field of multi-objective evolutionary classic, has been widely recognized by his peers, I believe for everyone to learn and research will bring help group, welcome to download!)
- 2013-10-01 17:14:46下载
- 积分:1
-
bp源程序
很好 我采用得是串行方式对bp网络进行训练,为何训练时误差dsum约来越大??望指教!(good, I have used in serial mode is the right bp network training, training errors are about to dsum greater? ? Look weekend!)
- 2005-03-23 09:17:04下载
- 积分:1
-
imageprocessing
运用MATLAB程序识别图像并将其划分为文字和非文字的两个类别(MATLAB program to identify the use of images and text and is divided into two categories of non-text)
- 2008-12-20 17:34:34下载
- 积分:1
-
fls_svm(pso1)
模糊支持向量机算法研究,将模糊隶属度函数与最小二乘支持向量机相结合,来抑制异常点和噪声的影响(RESEARCH ON FUZZY SUPPORT VECTOR MACHINE )
- 2010-12-13 12:41:38下载
- 积分:1
-
kalman
说明: 这是一个关于卡尔曼滤波的学习资料,可以帮助初学者学习该滤波算法(This is a study on the Kalman filter information that can help beginners learn the filtering algorithm)
- 2011-04-01 09:18:58下载
- 积分:1