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基于遗传算法的基元识别与提取,C++源代码
基于遗传算法的基元识别与提取,C++源代码-Based on genetic algorithm identification and extraction of primitives, C++ Source code
- 2023-08-19 10:40:04下载
- 积分:1
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模式识别_贝叶斯分类器
模式识别_贝叶斯分类器-pattern recognition _ Bayesian classifier
- 2022-01-26 01:10:47下载
- 积分:1
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PSO (粒子群优法)简单的范例程式 可以提供初学者使用
PSO (粒子群优法)简单的范例程式 可以提供初学者使用-PSO (PSO You) simple programming model can provide beginners
- 2023-09-08 05:50:03下载
- 积分:1
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BP neural network C language package
BP神经网络C语言程序包-BP neural network C language package
- 2022-01-24 09:28:46下载
- 积分:1
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〈智能优化算法与应用〉介绍各种优化算法:模拟褪火法、遗传算法、禁忌搜索法、神经网络法、混合优化策略等内容。...
〈智能优化算法与应用〉介绍各种优化算法:模拟褪火法、遗传算法、禁忌搜索法、神经网络法、混合优化策略等内容。-"intelligent optimization algorithms and application" on the various optimization algorithms : simulated fire faded, genetic algorithm, Tabu search method, neural networks, hybrid optimization strategy content.
- 2022-09-14 11:15:06下载
- 积分:1
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该程序是遗传算法的具体实现,通过该程序可以对遗传算法有更深入的了解。...
该程序是遗传算法的具体实现,通过该程序可以对遗传算法有更深入的了解。-The program is a concrete realization of genetic algorithm, through which the genetic algorithm program can have a deeper understanding.
- 2023-05-17 11:15:03下载
- 积分:1
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用C++语言开发的神经网络,很好用的。
使用C语言实现神经网络算法,针对BP神经网络的特点进行设计和开发,具有比较好的性能-use c language to develop neural network,good to use.
- 2022-07-11 03:48:03下载
- 积分:1
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加了注释的c代码(complexNetwork)源代码,下载后就可以直接使用...
加了注释的c代码(complexNetwork)源代码,下载后就可以直接使用-Added a comment c code (complexNetwork) source code, downloads can be used directly after
- 2022-01-25 16:35:28下载
- 积分:1
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基于信息熵的免疫算法是一种修正的免疫算法,方法并不复杂,对于特定问题效果较好...
基于信息熵的免疫算法是一种修正的免疫算法,方法并不复杂,对于特定问题效果较好-Entropy-based immune algorithm is a modified immune algorithm, methods are not complicated, for the specific problem better
- 2022-05-17 00:10:16下载
- 积分:1
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一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的(一维或者二维)的离散网络上,并将保持相同性质的输入数
一种通过自组织竞争学习网络实现数据降维和可视化的单层神经网络模型。用此算法可以把输入空间的多维映射到低维的(一维或者二维)的离散网络上,并将保持相同性质的输入数据在映射到低维空间时的拓扑一致性。iris以及letter两个数据集进行分类-A competitive learning through self-organizing network for data dimensionality reduction and visualization of single-layer neural network model. Using this algorithm can be multi-dimensional input space is mapped to the low-dimensional (one-dimensional or two-dimensional) discrete network, and will remain the same as the nature of the input data is mapped to the low-dimensional space of topological consistency. iris as well as the letter the two data sets to classify
- 2022-02-11 22:55:39下载
- 积分:1