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关于遗传算法 源代码
关于遗传算法 源代码-On the genetic algorithm source code
- 2022-02-14 05:09:26下载
- 积分:1
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Java神经网络工具箱
Java神经网络工具箱-Java neural network toolbox
- 2022-07-07 23:00:39下载
- 积分:1
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一篇关于遗传算法组卷的论文,论文中详尽的描述了遗传算法用于组卷的关键技术...
一篇关于遗传算法组卷的论文,论文中详尽的描述了遗传算法用于组卷的关键技术-A paper on genetic algorithm test paper, paper, a detailed description of the genetic algorithm for the key technologies Test Paper
- 2022-01-25 14:27:59下载
- 积分:1
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采用C编写的BP神经网络一个程序,请提意见
采用C编写的BP神经网络一个程序,请提意见-with C BP prepared a neural network procedures, please comment
- 2023-06-15 09:20:03下载
- 积分:1
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c++学习初步
c++学习初步-c++ preliminary study
- 2022-01-21 04:02:56下载
- 积分:1
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IEEE on MRI fuzzy segmentation of brain images related article ,2007
IEEE中关于MRI脑图像模糊分割的相关文章,2007-2008年度最新-IEEE on MRI fuzzy segmentation of brain images related article ,2007-2008 annual update
- 2022-03-13 09:50:24下载
- 积分:1
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SOM classic examples of artificial neural network source code, it is true
SOM人工神经网络的经典例子源代码,是真的
- 2022-07-28 01:08:54下载
- 积分:1
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Eigenface和Fisherface表现在姿势
Eigenface and Fisherface Performance Across Pose
- 2022-03-11 07:13:08下载
- 积分:1
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一种汉字模式识别的VC++源代码,里面包含了学习与识别的算法实现,识别一种汉字前,先学习几遍。识别率高,对学习与研究模式识别很有好处。方便修改。...
一种汉字模式识别的VC++源代码,里面包含了学习与识别的算法实现,识别一种汉字前,先学习几遍。识别率高,对学习与研究模式识别很有好处。方便修改。-a Chinese character pattern recognition VC source code, which contains the learning and recognition algorithm, a Chinese character recognition, first learn several times. The high recognition rate for the study and research of pattern recognition is very good. To facilitate change.
- 2023-03-14 15:20:04下载
- 积分:1
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模拟退火算法 模拟退火算法(Simulated Annealing,简称SA算法)是模拟加热熔化的金属的退火过程,来寻找全局最优解的有效方法之一。 模拟退火的基...
模拟退火算法 模拟退火算法(Simulated Annealing,简称SA算法)是模拟加热熔化的金属的退火过程,来寻找全局最优解的有效方法之一。 模拟退火的基本思想和步骤如下: 设S={s1,s2,…,sn}为所有可能的状态所构成的集合, f:S―R为非负代价函数,即优化问题抽象如下: 寻找s*∈S,使得f(s*)=min f(si) 任意si∈S (1)给定一较高初始温度T,随机产生初始状态S (2)按一定方式,对当前状态作随机扰动,产生一个新的状态S’ S’=S+sign(η).δ 其中δ为给定的步长, η为[-1,1]的随机数-simulated annealing algorithm (Simulated Annealing, or SA algorithm) is a simulation of heating molten metal in the annealing process, to find the global optimum one of the effective ways. Simulated Annealing basic ideas and the steps are as follows : S = (s1, s2, ..., sn) for all possible state posed by the pool, f : S-R non-negative cost function, that is abstract optimization problems are as follows : Find S* s, making f (s*) = min f (si) arbitrary si S (1) to set a higher initial temperature T, randomly generated initial state S (2) of a certain form, the current state of random disturbance, have a new state S "S" = S+ sign (). delta where given for the step, [-1,1] Random Number
- 2022-08-26 01:32:21下载
- 积分:1