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《Matlab遗传算法工具箱及应用》源码
说明: .附件结构: gatbx.rar: (1)gatbx-origin.zip; (2)gatbx-toolbox.rar; (3)gatbx-example.rar
2.调试所用Matlab版本是6.5,gatbx-toolbox是调试过程中使用的工具箱,有些热心的研友已经提供了该工具箱,之所以再贴一遍,是因为6.5版本下调试该工具箱会出现一些错误提示,在该版本中已经进行了改正,使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可,另外gatbx-origin是Sheffield大学提供的原始版本的工具箱,未做任何改动,两者可做比较之用
3.gatbx-example是算例调试源码和各算例的调试说明,大家可以对照原书进行比较
4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程,虽然在可视化方面不及gads
5.学习遗传算法如果首先用熟相关工具箱的话,能够先培养信心,然后更有兴趣去专研和了解具体的算法,如果就用现有的工具箱就能解决问题的话,不了解其详细的算法也未尝不可,毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧,(Annex structure: gatbx.rar: (1) gatbx-origin.zip; (2) gatbx-toolbox.rar; (3) gatbx-Test_fns under the compression package need to be added to Mat. The lab search path can be done, and gatbx-origin is the original version of the toolbox provided by Sheffield University, without any changes, which can be used for comparison.
3. Gatbx-example is the source code of example debugging and the debugging instructions of each example. You can compare it with the original book.
4. It is assumed that the gatbx toolbox is better than the gads toolbox in the new version of MATLAB 7 in familiarizing and understanding the principle and calculation process of genetic algorithm, although it is less visualized than gads.)
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HungarySolution
Hungary Solution
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Discrete_Bayes
说明: matlab编写的[数据挖掘]分类算法Discrete_Bayes算法程序。(Matlab prepared by the [data mining] classification algorithm Discrete_Bayes algorithm way Preface.)
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bianyuanjiance-juti
二值化后边缘检测算法具体实现,用matlab编写的,有roberts,sobel,prewitt,log等算法的具体实现(value after two edge detection algorithm to realize the use of Matlab prepared, roberts, segmentation, prewitt, log, etc. of specific algorithm implementation)
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进行单道地震或波速测井处理,主要是抽到处理(Single-channel seismic wave velocity logging treatment)
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directivityofDifferentN
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MATLAAD
数字基带传输仿真,关于a/d部分的仿真实习属于通信系统仿真的基本内容(Simulation of digital baseband transmission)
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PLS_Manual_4
PLS toolbox V.4 manual (under matlab)
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KMLFormatter
Formats tracker data as KML output.
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数字信号处理中数字滤波器的设计及对其滤波使用(Digital signal processing in the digital filter design and its use filtering)
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