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stochastic
In probability theory, a stochastic process, or sometimes random process, is the counterpart to a deterministic process (or deterministic system). Instead of dealing with only one possible reality of how the process might evolve under time (as is the case, for example, for solutions of an ordinary differential equation), in a stochastic or random process there is some indeterminacy in its future evolution described by probability distributions. This means that even if the initial condition (or starting point) is known, there are many possibilities the process might go to, but some paths may be more probable and others less.
- 2010-08-11 04:13:08下载
- 积分：1
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FastICA2.5ica
fastica法的matlab工具包，是一组程序(FastICA matlab law Toolkit, is a set of procedures)
- 2008-03-14 14:20:48下载
- 积分：1
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GaussianBeam2D
describe a gaussian beam 2D
- 2011-01-20 19:32:33下载
- 积分：1
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leach(matlab)
用Matlab对LEACH分簇算法(cluster)的仿真程序(Using Matlab on LEACH clustering algorithm (cluster) of the simulation program)
- 2009-03-05 15:59:38下载
- 积分：1
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pca
本程序基于MATLAB仿真工具实现主分量分析(The program is based on MATLAB simulation tools principal component analysis)
- 2010-10-18 21:45:55下载
- 积分：1
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statistical-words-and-sentences
用于统计单词和句子数量,采用MATLAB编程(For the number of statistical words and sentences)
- 2012-05-18 22:18:33下载
- 积分：1
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UWB_TOA_estimation
这是我在做超宽带测距定位研究时，编写的一个matlab程序，非常值得大家参考。(This is what I was doing UWB Ranging positioning studies, preparation of a matlab program, very worthy of your consideration.)
- 2021-01-27 16:18:37下载
- 积分：1
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PQ_controlled_DG
微网联网模式下pq控制仿真，供大家一起参考学习。(Pq control simulation the micro mesh networking mode, the reference for everyone to learn.)
- 2013-05-16 00:41:18下载
- 积分：1
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grinding-wheel-Gaussian-surface-
用matlab编写的磨削砂轮高斯表面,可用于影响磨削性能的参数分析(grinding wheel Gaussian surface prepared with matlab)
- 2014-03-19 16:13:45下载
- 积分：1
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PSOGSA
程序提出了一种基于人群混合算法，是粒子群优化和引力搜索算法的组合。主要目标提高整合PSO和GSA算法的能力(Hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA)
A new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms’ strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution.)
- 2014-05-16 10:32:46下载
- 积分：1
