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MATLABsignalsandsystems
主要讲Matlab信号与系统方面的知识,对熟悉与了解MATLAB很有帮助(Matlab main speaker signal and system knowledge, and understanding to people familiar with MATLAB helpful)
- 2009-04-29 19:45:24下载
- 积分:1
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IC-final
Fuzzy controller for a thermal process using the guide interface of MATLAB and the USB communication whith a PIC 18F4455 microcontroller.
- 2009-06-27 12:36:02下载
- 积分:1
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bezier-5
5次bezier曲线可以运行,已经经过尝试(5 bezier curve can run, has been tried)
- 2011-11-23 11:43:48下载
- 积分:1
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泊松方程.tar
计算泊松方程的方程程序算法。计算物理的非常经典的算法之一。(An algorithm for calculating the Poisson equation. One of the very classic algorithms for computing physics)
- 2018-04-01 16:18:44下载
- 积分:1
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Matlabnn
面向Matlab工具箱的神经网络理论与应用,搞图像的要看。(Matlab toolbox for neural network theory and applications, engaging look at the image.)
- 2009-10-06 19:18:50下载
- 积分:1
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initfknn
KNN算法实现,初始化模糊成员等级
initialize fuzzy membership grades of sample output for fuzzy KNN(initialize fuzzy membership grades of sample output for fuzzy KNN)
- 2009-05-18 06:55:47下载
- 积分:1
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chazhiyunihe
数值分析中的插值与拟合,有详细的讲解和配套matlab源代码(Numerical analysis of interpolation and fitting, detailed explanations and supporting source code matlab)
- 2010-12-31 18:23:41下载
- 积分:1
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symbolic-computation-MATLAB-2010a
MATLAB 2010a中的符号计算的入门与讲解(Entry and explain the symbolic computation in MATLAB 2010a)
- 2012-11-22 00:31:41下载
- 积分:1
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matlabbasictutorial
一个讲述MATLAB基础的ppt格式的教程,内容比较详尽(About the basis of a MATLAB tutorial ppt format, content, more detailed)
- 2011-12-06 19:40:16下载
- 积分:1
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adaboost_for_matlab
AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files
1. ADABOOST_tr.m
2. ADABOOST_te.m
to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)
- 2020-10-21 21:17:23下载
- 积分:1