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tianhetemp2
由光学图像生成模拟微波图像，并分为水平极化和垂直极化两种情况(Analog optical image generated by the microwave image)
- 2010-08-23 13:32:14下载
- 积分：1
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invm
实现在任意格式的图片中隐藏信息 联合开发网 - pudn.com
- 2010-10-06 23:56:34下载
- 积分：1
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Simu_Lyap_8
program to simulate lyaponov method
- 2013-05-02 19:46:55下载
- 积分：1
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The-usage-of-Matlab-functions
Matlab 命令大全详细介绍了Matlab中常用函数的用法以及应用举例，包括数值计算函数、数学变换函数以及绘图函数等(The book of the usage of Matlab functions details the application of commonly used functions in Matlab and application examples, including the numerical functions, mathematical transformation functions and graphics functions and so on )
- 2013-11-27 07:48:51下载
- 积分：1
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wind_integration
Matlab/Simulink下的风力发电仿真程序，可用于研究风电并网下稳态、暂态以及故障运行时的系统状态，内附与程序相对应的论文。(Matlab/Simulink simulation program under wind power can be used to study wind power under steady state, transient and fault runtime system state, containing papers that corresponds with the program.)
- 2021-04-07 09:59:02下载
- 积分：1
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robust_ICA
稳健独立分量分析算法，实现任意混合信号的分离。(Strong and independent component analysis algorithm to achieve any mixed-signal separation.)
- 2013-04-08 22:39:38下载
- 积分：1
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1156
增强，计算目标个数及周长增强，计算目标个数及周长(Increased number of objects and calculate the circumference increased number of objects and calculate the perimeter)
- 2010-05-06 10:26:33下载
- 积分：1
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matlab-zhidong
MATLAB关于汽车制动分析 汽车理论 汽车理论
汽车理论(MATLAB analysis on the brake)
- 2011-05-31 11:28:28下载
- 积分：1
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pre_fun_ctrl
预测函数控制代码通过轧辊压下实现对铝带轧制系统的纠偏(Predictive function control codes for aluminum rolling reduction achieved by correcting the system rolls)
- 2014-02-24 15:12:38下载
- 积分：1
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遗传算法程序
说明： 遗传算法是计算数学中用于解决最佳化的搜索算法，是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的，这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题，一定数量的候选解（称为个体）的抽象表示（称为染色体）的种群向更好的解进化。传统上，解用二进制表示（即0和1的串），但也可以用其他表示方法。进化从完全随机个体的种群开始，之后一代一代发生。在每一代中，整个种群的适应度被评价，从当前种群中随机地选择多个个体（基于它们的适应度），通过自然选择和突变产生新的生命种群，该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms.
Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization.
Genetic algorithms are usually implemented as a computer simulation.
For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution.
Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible.
Evolution begins with a population of completely random individuals, and it happens from generation to generation.)
- 2020-06-07 21:42:11下载
- 积分：1
