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于 2013-11-12 发布 文件大小:8569KB
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代码说明:

  基于神经网络下的《MATLAB神经网络30个案例分析》程序(Based on Neural Network under " MATLAB neural network 30 Case Studies" Program)

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  • Matlabweiwei
    最近一直在研究分类器算法,这是总结的Matlab优化算法问题,希望对大家有用(Recently has been studying the classifier algorithm, which is a summary of the Matlab Optimization problems in the hope of useful U.S.)
    2008-07-20 11:40:24下载
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    2020-10-26 19:49:59下载
    积分:1
  • dongbo
    驻波 行波 行驻波演示M文件,经调试,运行良好(the M.file of performing standing wave &travelling wave &standing-travelling wave)
    2012-03-30 09:34:20下载
    积分:1
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    2011-07-12 15:00:57下载
    积分:1
  • pso
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    2011-04-11 13:30:36下载
    积分:1
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    EOF分析,对于数据进行EOF的转换分析(EOF analysis)
    2013-08-23 09:49:47下载
    积分:1
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    说明:  用于计算表面等离子体共振中常用的金属膜层的介电常数值(Surface plasmon resonance is used to calculate the metal film layer is commonly used in the dielectric constant)
    2013-12-16 20:12:56下载
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  • tdh
    matlab 图像梯度化示列,对新手学习matlab很有帮助(matlab image gradient-based show out on the novice to learn matlab helpful)
    2010-03-09 21:13:11下载
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  • 0-1programming
    0-1整数规划有很广泛的应用背景,比如指派问题,背包问题等等,实际上TSP问题也是一个0-1问题,当然这些问题都是NP问题,对于规模较大的问题用穷举法是没有办法在可接受的时间内求得最优解的,本程序只不过是一个练习,得意之处是用递归法把所有解都排列出来。另:胡运权所著的《运筹学基础及应用(第三版)》第97页的例3,我用本程序求解得到的结果是:最优解是x*=(1,0, 0, 0, 0),最优值是f(x*)=8,但书求得最优解是x*=(1,0, 1, 0, 0),最优值是f(x*)=4,是不是书中写错了,请大家验证。以下是源程序,大家可以任意使用无版权问题,另外,如果大家有大规模的0-1规划的问题也希望提供给我,谢谢。变量个数至少是3个(0-1 Integer Programming is a very broad background, such as assignment, bags and so on. actually TSP is a 0-1, of course, these problems are NP, for larger problem with the law is not exhaustive approach in an acceptable time frame to obtain the optimal solution. this procedure is only one practice, farewell tour is the method used recursive all of the solutions to show. Another : Hu Yun-author of "operational research, and application base (third edition)" Article 97 of the three cases, I use this procedure to solve the result is : is the optimal solution x = (1,0, 0, 0, 0), the optimal values of f (x*) = 8, but the book is to find the optimum solution x = (1,0, 1, 0, 0), the optimal values of f (x*) = 4, the book is not a mistake, please certification. Following is the source)
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    积分:1
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    2011-06-11 18:16:37下载
    积分:1
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