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FLch6eg2
非常好的遗传算法入门例子,加入最优保存策略。(Very good entry examples of genetic algorithm, to join the elitist strategy.)
- 2012-07-16 12:50:59下载
- 积分:1
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ChaosToolbox1.0_trial_matlab7.0
matlab 混沌时间工具箱 用时需要自己更改数据(matlab chaotic time toolbox need to change the data)
- 2012-08-12 12:01:26下载
- 积分:1
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kalman_intro
卡尔曼滤波的介绍,包括原理和代码等,并且是英文版(Kalman filter)
- 2013-03-24 10:38:20下载
- 积分:1
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M_P_O_8
八方向均值比例算子,对每个像素点取半径为r的矩阵,分成八个区域,计算均值比例,选取图像中的对比较为明显的区域(Mean proportion of the eight directions operator, a radius r of the matrix for each pixel is divided into eight regions, and calculate the mean ratio, the selected image of the more obvious contrast region)
- 2013-03-24 11:29:30下载
- 积分:1
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BAnet-and-MATLAB
无标度网络简介 生成原则 matlab程序代码以及最终成图plot(Introduction to generate scale-free network matlab code principles and ultimately into the chart plot)
- 2013-11-24 15:56:39下载
- 积分:1
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Matlab code. My friend give this to me. I hope it will be helpful to others.
Matlab code. My friend give this to me. I hope it will be helpful to others.
- 2022-01-24 15:51:00下载
- 积分:1
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fsk
fsk simulink matlab example
- 2010-02-17 18:49:00下载
- 积分:1
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chap02
ex2_1 利用Z变换求系统输出
ex2_2 求DFT
ex2_3 求序列的圆周移位
ex2_4 求序列的圆周卷积
ex2_5 简单的DFT实例(ex2_1 seeking to use the Z-transform system output
ex2_2 seeking DFT
ex2_3 find the circumference of the shift sequence
ex2_4 find circular convolution sequence
ex2_5 simple example of DFT)
- 2011-12-28 16:36:44下载
- 积分:1
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sram_snm
Simulation of static noise margin of 6T to 10T SRAM cells
- 2012-09-25 21:26:51下载
- 积分:1
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yichuansuanfa
遗传算法(Genetic Algorithm,GA)是通过对自然界中生物的遗传和优胜劣汰的进化过程进行模拟与抽象,进而形成的一种自适应全局随机优化搜索方法。遗传算法只需提供目标函数作为寻优信息,它从某一随机生成的初始群体出发,经过选择、交叉和变异等遗传操作后对个体进行适应度评价,保留适应度较强的个体遗传到子代种群中,经过多次的迭代计算求得最优个体,即问题的最优解。本程序采用遗传算法可求解微网优化运行。(Genetic Algorithm is an adaptive global by nature, genetic and biological survival of the fittest evolutionary process simulation and abstract, and thus the formation of stochastic optimization search method. Just provide genetic algorithm optimization objective function as an information, which is generated from a random initial population of departure, after genetic manipulation, such as selection, crossover and mutation of individuals fitness evaluation, retained a strong individual genetic fitness to child on behalf of the population, after several iterations of computing the optimal solution to get the optimal individual, that is the problem. This program uses a genetic algorithm to solve the optimal operation of the micro-network.)
- 2021-03-11 18:29:26下载
- 积分:1