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MSRM
this will helpful for region merging algorithm
- 2009-11-18 13:55:54下载
- 积分：1
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ID3(MATLAB)
ID3决策树算法，实现不同条件下数据的分类(ID3 decision tree algorithm, the classification of data under different conditions)
- 2010-12-11 00:53:19下载
- 积分：1
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jcontrol
control software matlab mmmnnn
- 2011-08-02 02:44:44下载
- 积分：1
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网络化控制切换仿真
说明： 网络化控制系统的切换系统的非稳定性与稳定性的仿真分析(switched system stability)
- 2019-05-30 21:03:49下载
- 积分：1
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MATLAB
matlab编程中文第二MATLAB+Programming+for+Engineers(中文翻译)(matlab second edition of Programming in Chinese)
- 2010-11-07 12:57:18下载
- 积分：1
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boxoex
This example uses some advanced features of the toolbox. The data is made of two batches and some of the unknowns are local to the batches.
- 2010-12-08 17:06:32下载
- 积分：1
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cengcifa
说明： 用于层次分析法的一致性验证，及顺便求矩阵的最大特征值特征向量。(Analytic hierarchy process for the verification of consistency, and the way for the largest eigenvalue matrix eigenvectors.)
- 2009-08-06 18:59:18下载
- 积分：1
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2-4@
this is the code written for baysian classifier that contains lda,pca, normalization
- 2011-06-13 15:31:12下载
- 积分：1
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guangzhao
用HOMER软件画出的某地区一年每小时的光照，将其导出为文本格式，可导入到MATLAB中供研究人员使用(HOMER software to draw an area with a light year per hour, export it to a text format that can be imported into MATLAB for researchers)
- 2013-12-15 15:26:43下载
- 积分：1
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PSO-evolutionarycomputation
粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhart博士和kennedy博士发明。源于对鸟群捕食的行为研究
PSO同遗传算法类似，是一种基于叠代的优化工具。系统初始化为一组随机解，通过叠代搜寻最优值。但是并没有遗传算法用的交叉(crossover)以及变异(mutation)。而是粒子在解空间追随最优的粒子进行搜索。详细的步骤以后的章节介绍
同遗传算法比较，PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域(Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), has Dr. Eberhart and Dr. kennedy invention. Deriving from the behavior of birds of prey PSO with genetic algorithm is similar to an iterative optimization-based tools. System initialization for a group of random solutions, through the iterative search for optimal values. But there is no cross-genetic algorithm used (crossover) and mutation (mutation). But the particles in the solution space of the particles to follow the optimal search. In detail the steps after the introduction sections compared with the genetic algorithm, PSO has the advantage of being simple and easy and did not realize many of the parameters need to be adjusted. Has been widely applied to function optimization, neural network training, fuzzy system control, as well as other genetic algorithm applications)
- 2008-03-19 20:51:36下载
- 积分：1
