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MATLAB_g
使用matlab语言描述遗传算法源的程序(Genetic algorithm using matlab language to describe the source of the program)
- 2010-06-15 21:10:22下载
- 积分：1
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yx068
用MATLAB编写的遗传算法路径规划，窗函数法设计一个数字带通FIR滤波器，一种噪声辅助数据分析方法。( Genetic algorithms using MATLAB path planning, A window function design FIR digital band-pass filter, A noise auxiliary data analysis method.)
- 2017-04-14 18:39:00下载
- 积分：1
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classification
调制信号识别，利用设计的算法识别出调制信号。(Modulated signal identification, the use of algorithms to identify the design modulated signal.)
- 2013-10-01 18:15:13下载
- 积分：1
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LASSOaLARSa-SPCA
Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R.
Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection
- 2013-10-28 22:36:21下载
- 积分：1
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chap_03
solutions of chapter 3 of dsp using matlab by Proakis
- 2010-10-09 16:10:49下载
- 积分：1
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matlab
MATLAB is a software package for doing numerical
computation. It was originally designed for solving linear
algebra type problems using matrices. It’s name is derived
from MATrix LABoratory.
- 2013-07-30 13:29:23下载
- 积分：1
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untitledzhangzhide
三相风力发电控制系统。已经建好的模型，pwm控制(Three-phase wind power control systems. The model has been built)
- 2014-05-23 20:57:38下载
- 积分：1
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test
a test image for matlab image processing
- 2011-04-20 19:49:13下载
- 积分：1
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Opt_Nelder
Nelder-Mead法用于多维变量的最优化问题，维数>=2.(Nelder-Mead method for multidimensional optimization problem variables, dimension> = 2.)
- 2011-11-29 22:18:09下载
- 积分：1
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bilinear
In this paper, we introduce a new machine-learning-based data classification algorithm that is applied
to network intrusion detection. The basic task is to classify network activities (in the network log
as connection records) as normal or abnormal while minimizing misclassification. Although different
classification models have been developed for network intrusion detection, each of them has its strengths
and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the
Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM
method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is
implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC
(Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both
classification rate and run-time efficiency.
- 2013-12-21 13:40:52下载
- 积分：1
