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codes
THE ZIP FILE CONTAINS ALL THE PROGRAMS OF A BOOK NEURAL NETWROK FOUNDATIONS BY SATISH KUMAR
- 2009-04-08 19:33:32下载
- 积分：1
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matlab
MATLAB命令学习。。。常用命令总结。可以看看。(MATLAB you can learn)
- 2014-12-29 20:10:21下载
- 积分：1
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multi_methods_DOA
基于多种经典参数估计算法的窄带信号源DOA估计(for narrowband signals DOA estimation Based on a variety of classic algorithms )
- 2012-07-01 00:41:55下载
- 积分：1
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DBSCAN
DBSCAN clustering in vietnamese
- 2014-11-21 02:27:07下载
- 积分：1
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The-BP-neural-network
Matlab的编程例题，关于BP神经网络的PID温度控制(Matlab programming examples on BP neural network PID temperature control)
- 2013-10-12 14:11:23下载
- 积分：1
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jiqirenpaibao
讲述了基于matlab的排爆机器人的控制与仿真，具有较好效果(About the control and simulation matlab-based EOD robot, with good results)
- 2014-09-19 20:29:30下载
- 积分：1
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LAP-TRINH-MATLAB-2008a
this source is very helpfull for technology student, who is the first in programming with matlab,
- 2013-10-05 15:07:04下载
- 积分：1
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arithXover
遗传算法中交叉算子的MATLAB程序 (Genetic algorithm crossover operator of the MATLAB program)
- 2009-03-12 16:59:00下载
- 积分：1
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wavelettransformation
选择db10 小波和db10 小波两个小波函数实现了小波变换(Choose two db10 wavelet and wavelet db10 wavelet function implementation of wavelet transform)
- 2020-07-02 18:40:01下载
- 积分：1
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EMALGORITHM
In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.
- 2010-12-14 17:04:44下载
- 积分：1
