-
SVM
支持向量机的工具包,可在Matlab65下使用,具有分类和回归功能.(Support Vector Machine tool kit can be used Matlab65 with classification and regression functions.)
- 2008-05-30 22:33:08下载
- 积分:1
-
MATLAB-Stochastic-Simulation
this is file for discret event system,,
- 2013-03-11 15:40:40下载
- 积分:1
-
jmagLHFZ
jmag和matlab与psim联合仿真的教程,内容非常详细,英文版的,国内资料非常少。(Jmag and MATLAB and PSIM co simulation tutorial, the content is very detailed, the English version of the domestic information is very small. )
- 2017-05-04 19:25:55下载
- 积分:1
-
用MATLAB来实现3个通道的语音盲源分离
盲分离算法,处理声音信号的分离,供语音识别使用(Blind separation algorithm, which handles the separation of sound signals, is used for speech recognition.)
- 2020-12-12 14:39:16下载
- 积分:1
-
project
使用matlab实现信号发生器以及电子琴(A basic signal generator &digital piano based on Matlab)
- 2013-10-23 22:42:25下载
- 积分:1
-
MATLAB_faceRecognition
MATLAB人脸识别,运行TEST.m文件看效果就可以了,完成的功能就是识别人脸并标记起来。(MATLAB+human face recognition,run TEST.m to show the performance,To be sure that images in the images file are in the same size,)
- 2012-05-12 16:55:46下载
- 积分:1
-
demo_mtbot
Its a matlab code for tracking moving objects
- 2015-03-13 14:15:23下载
- 积分:1
-
DeepLearnToolbox-master
说明: 该工具包提供了一个用于通过算法、预训练模型和应用程序来设计和实现深度神经网络的框架。您可以使用卷积神经网络(ConvNet、CNN)和长短期记忆 (LSTM) 网络对图像、时序和文本数据执行分类和回归。应用程序和绘图可帮助您可视化激活值、编辑网络架构和监控训练进度。(The toolbox provides a framework for designing and implementing deep neural networks through algorithms, pre training models and applications. You can use convolutional neural networks (convnet, CNN) and long and short term memory (LSTM) networks to perform classification and regression on image, temporal, and text data. Applications and graphics help you visualize activation values, edit network architecture, and monitor training progress.)
- 2021-03-21 14:58:10下载
- 积分:1
-
RatSLAM_MATLAB_v1_03
this is a sample code for rat slam in matlab code.
- 2010-01-17 16:16:12下载
- 积分:1
-
renkoumoxing
matlab环境下数学建模中人口模型的资料 包含源程序(mathematical modeling matlab environment, the information contained in the source population model)
- 2011-02-13 21:37:49下载
- 积分:1