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Ficheros
Ciudad descritas en matlab para comprobar que un algoritmo evolutivo funciona bien
- 2011-12-08 04:24:29下载
- 积分:1
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wolfe
利用wolfe算法,编写了wolfe程序模块。测试数据引用《最优化方法及其Matlab程序设计》(马昌凤编)的Armijo准则搜索例题(Use wolfe algorithm, written wolfe program modules. Test data reference " optimization methods and Matlab programming" (Ma Changfeng ed.) The search criteria examples Armijo)
- 2014-02-25 15:09:51下载
- 积分:1
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matlab_functions
matlab常用函数,其中包括一些基本常用的函数,是一个不错的收集(matlab commonly used functions, including some basic common functions, it is a good collection of)
- 2009-12-21 18:33:00下载
- 积分:1
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specbandvar_SingleVoice
基于频率方差和子带分离的语音端点检测程序,基于matlab开发(based on specband var Vad detection programe,using matlab)
- 2010-05-14 16:01:36下载
- 积分:1
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0312
An estimation method for the inference on parameters of a dynamic macro model originally
developed by Christiano, Eichenbaum and Evans is examined, extended and implemented in
MATLAB.
- 2011-09-13 15:40:33下载
- 积分:1
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genetic
filter design with the genetic algorithm
- 2013-10-11 21:39:19下载
- 积分:1
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scfig16
Scfig16 function for wavelet analysis
- 2013-05-15 02:35:02下载
- 积分:1
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Example_rectangular-waveguide_2D
二维矩形波导电磁波传播,Matlab程序,实习时编写!(Two-dimensional rectangular waveguide electromagnetic wave propagation, Matlab procedures, internship writing!)
- 2013-12-16 12:31:04下载
- 积分:1
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NSGA-III
测试可以跑,根据自己情况修改下函数即可. NSGA-III 首先定义一组参考点。然后随机生成含有 N 个(原文献说最好与参考点个数相同)个体的初始种群,其中 N 是种群大小。接下来,算法进行迭代直至终止条件满足。在第 t 代,算法在当前种群 Pt的基础上,通过随机选择,模拟两点交叉(Simulated Binary Crossover,SBX)和多项式变异 产生子代种群 Qt。Pt和 Qt的大小均为 N。因此,两个种群 Pt和 Qt合并会形成种群大小为 2N 的新的种群 Rt=Pt∪Qt。 为了从种群 Rt中选择最好的 N 个解进入下一代,首先利用基于Pareto支配的非支配排序将 Rt分为若干不同的非支配层(F1,F2等等)。然后,算法构建一个新的种群St,构建方法是从 F1开始,逐次将各非支配层的解加入到 St,直至 St的大小等于 N,或首次大于 N。假设最后可以接受的非支配层是 L层,那么在 L+ 1 层以及之后的那些解就被丢弃掉了,且 St FL中的解已经确定被选择作为 Pt+1中的解。Pt+1中余下的个体需要从 FL中选取,选择的依据是要使种群在目标空间中具有理想的多样性。(The test can run and modify the function according to its own situation. NSGA-III first defines a set of reference points. Then the initial population containing N individuals (preferably the same number of reference points as the original literature) was randomly generated, where N was the size of the population. Next, the algorithm is iterated until the termination condition is satisfied. On the basis of current population Pt, the algorithm simulates two-point crossover (SBX) and polynomial mutation to produce offspring population Qt by random selection.)
- 2021-01-26 22:38:41下载
- 积分:1
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BPSK
1、对给出的数字0、1序列进行BPSK调制,调制成正负极性,并进行傅里叶变换.
2、滚将升余弦窗设计(1、making BPSK modulation for given 0、1 data serial.And make FFT change.
2、Raised-cosine window)
- 2009-03-30 12:46:42下载
- 积分:1