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lunwen[1]
说明： PI调节器参数的直流双闭环仿真程序，参数需要调节，网友学习交流matlab程序代码(DC PI regulator parameter double loop simulation program, the parameter adjustment is required, users learn communication matlab code)
- 2011-04-14 11:35:23下载
- 积分：1
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apapa
contourlet toolbox component
- 2012-06-15 10:09:49下载
- 积分：1
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magic
Matlab魔方矩阵生成函数，输入一个除二之外的数，生成N阶魔方矩阵，矩阵的行、列及对角线之和相等(Matlab Magic matrix)
- 2014-11-05 08:53:36下载
- 积分：1
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maximumpower
this is maximum power detection.
- 2015-02-09 15:11:32下载
- 积分：1
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XAudio
Tool for programing matlab 6.0
- 2012-11-21 01:42:57下载
- 积分：1
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thickness
超声波测距程序，包含AD采样和信号处理等。(Ultrasonic ranging program, including AD sampling and signal processing.)
- 2021-03-16 15:49:21下载
- 积分：1
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chp6_1
power flow analysis
- 2014-01-26 00:09:31下载
- 积分：1
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Mat-builder_725vmd
课程设计中实现matlab的最优化设计，程序代码包括各种算法，如最速下降法 共轭梯度法，牛顿法，修正牛顿法，拟牛顿法，信赖域法，显式最速下降法， MDOMxw梯度投影法，修正G－N法，基本粒子群算法，带压缩因子的粒子群算法，权重改进的粒子群算法，ZMGGiit二阶粒子群算法等等。
(Curriculum design to achieve matlab optimization design, program code includes a variety of algorithms, such as the steepest descent method conjugate gradient method, Newton s method, modified Newton method, quasi-Newton method, trust region method, explicitly steepest descent method, MDOMxw gradient projection law, amendment G-N method, particle swarm algorithm, particle swarm algorithm with compression factors, weights improved particle swarm optimization, ZMGGiit second-order particle swarm optimization and so on.
)
- 2015-12-29 23:16:25下载
- 积分：1
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SGAPublic
说明： SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值）
并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名）
使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)
- 2011-03-15 15:33:34下载
- 积分：1
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Attachments_20131112
ebook for learning latex
- 2013-12-24 05:05:34下载
- 积分：1
