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讲解编程风格的一本书
非常经典的讲解编程风格的一本书，欢迎大家下载(Programming style is very classic, a book to explain, are welcome to download)
- 2010-11-25 14:22:57下载
- 积分：1
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DocumentHandler
Receive notification of general document events.
- 2014-01-17 12:04:11下载
- 积分：1
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fft_ex
Matlab code for FFT with two cos functions
- 2009-05-19 14:19:00下载
- 积分：1
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Truss-Analysis
In this finite element application is descriptioned simple space a struss system analysis with only linear static model. This analysis model is very simplest. Fistly, selecting system model is solution analytical, secondly analysis Matlab and analysis results was compared the S.A.P2000 (structural analysis program). All analytical models, Matlab analysis are satify as analysis Results.
- 2013-01-18 15:42:14下载
- 积分：1
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art
用于解反问题的代数重建法，对于Ax=b，输入矩阵A，列向量b，以及迭代步数k，可求的列向量x(Algebraic solution of the inverse problem for the reconstruction of France, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x)
- 2009-09-04 10:49:35下载
- 积分：1
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Rigid_Transform
A program for fast rigid transform of an image and getting the spatial information after transformation.
- 2010-08-13 03:53:35下载
- 积分：1
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exam3_1
本程序为《结构分析的有限元法与Matlab程序设计》第三章的第一个算例，采用平面梁单元计算平面刚架的变形和内力，已经过修改。(This program is "structural analysis of the finite element method and Matlab Programming" chapter of the first example, the use of plane beam element of plane frame deformation and internal forces, which have been modified.)
- 2011-02-10 02:44:48下载
- 积分：1
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blzpack
Apply the Lanczos filter to a real time series, in the frequency space, i.e., using FFT which is faster than applied as a cosine filter in the time space.
- 2011-05-07 16:04:42下载
- 积分：1
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[David_G
computer manual for Matlab in pattern classification
- 2015-01-15 18:02:22下载
- 积分：1
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KNN
Implement the K nearest neighbor algorithm by your own instead of using available software.
2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result.
3. Train the classifier using your training dataset, and test the classifier using your testing dataset.
4. Repeat the experiment (Step 2 and Step 3) 30 times. For each time, you need to record the training data accuracy and testing data accuracy. Finally, you can obtain the average training data accuracy and average testing data accuracy.
- 2013-05-11 11:46:54下载
- 积分：1
