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遗传算法在ＭＡＴＬＡＢ环境中的实现.rar
遗传算法在ＭＡＴＬＡＢ环境中的实现.rar-genetic algorithm in MATLAB environment is achieved. Rar
- 2022-05-17 22:28:19下载
- 积分：1
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the solution of TSP（C #）
用C#语言开发基于模拟退火算法解决的10个城市的TSP问题-The Solution of TSP(C#)
- 2022-09-06 22:15:02下载
- 积分：1
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遗传算法软件包，其中有例子配合理解，十分不错
遗传算法软件包，其中有例子配合理解，十分不错-GA package, which is an example with understanding, very good
- 2022-01-27 23:09:30下载
- 积分：1
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Use of MFC technology to realize ant colony algorithm and genetic algorithm, vis...
采用MFC技术，实现蚁群算法和遗传算法，形象化了算法实现的过程，有助于我们的学习和理解。-Use of MFC technology to realize ant colony algorithm and genetic algorithm, visualization of the algorithm implementation process, contribute to our learning and understanding.
- 2023-03-15 16:55:04下载
- 积分：1
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这个工具箱包含了重新
This toolbox contains re-implementations of four different multi-instance learners, i.e. Diverse Density, Citation-kNN, Iterated-discrim APR, and EM-DD. Ensembles of these single multi-instance learners can be built with this toolbox
- 2023-08-03 15:45:04下载
- 积分：1
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Multi
多目标优化问题，此例中经遗传算法优化子代个体数目逐步减少，最后稳定在10个染色体个体-Multi-objective optimization problem, in this case, by the genetic algorithm to gradually reduce the number of offspring individuals, and finally stabilized at 10 chromosome individual
- 2023-07-14 19:15:03下载
- 积分：1
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前馈神经网络算法
前馈神经网络算法-feed forward neural network algorithm
- 2022-01-24 17:42:01下载
- 积分：1
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随机神经网络的源代码，对于研究神经网络的人来说，可能有一定的参考作用...
随机神经网络的源代码，对于研究神经网络的人来说，可能有一定的参考作用-random neural network source code for research neural network people, may have some reference
- 2022-03-06 15:29:40下载
- 积分：1
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RBF神经网络的应用
径向基函数网络应用实例-RBF Network Application
- 2022-03-21 16:17:08下载
- 积分：1
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C development based on the three hidden layer neural network, the output weights...
基于C开发的三个隐层神经网络，输出权值、阈值文件，训练样本文件，提供如下函数：1）初始化权、阈值子程序；2）第m个学习样本输入子程序；3）第m个样本教师信号子程序；4）隐层各单元输入、输出值子程序；5）输出层各单元输入、输出值子程序；6）输出层至隐层的一般化误差子程序；7）隐层至输入层的一般化误差子程序；8）输出层至第三隐层的权值调整、输出层阈值调整计算子程序；9）第三隐层至第二隐层的权值调整、第三隐层阈值调整计算子程序；10）第二隐层至第一隐层的权值调整、第二隐层阈值调整计算子程序；11）第一隐层至输入层的权值调整、第一隐层阈值调整计算子程序；12）N个样本的全局误差计算子程序。-C development based on the three hidden layer neural network, the output weights, threshold documents, training sample documents, for the following functions : a) initialization, the threshold subroutine; 2) m learning samples imported subroutine; 3) m samples teachers signal Subroutine ; 4) hidden layer of the module input and output value subroutine; 5) the output layer of the module input and output value subroutine; 6) the output layer to the hidden layer subroutine error of generalization; 7) hidden layer to the input layer subroutine error of generalization; 8) the output layer to the third hidden layer Weight adjustment, the output layer threshold adjustment routines; 9) 3rd hidden layer t
- 2022-07-11 04:13:40下载
- 积分：1
