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本程序实现了多城市的tsp问题(即旅行商问题)的遗传算法
本程序实现了多城市的tsp问题(即旅行商问题)的遗传算法-the process of multi-city tsp (ie, the traveling salesman problem) Genetic Algorithm
- 2023-04-25 06:15:03下载
- 积分:1
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K-近邻模糊分类器,模式识别和机器学习的经常…
模糊K近邻分类器,模式识别和机器学习经常要使用的一个分类器-K neighbor fuzzy classifier, pattern recognition and machine learning are often used in a classifier
- 2022-07-06 15:10:13下载
- 积分:1
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用BP网络实现对图像的边缘进行提取,本程序为演示程序,可以看到BP在应用中的效果...
用BP网络实现对图像的边缘进行提取,本程序为演示程序,可以看到BP在应用中的效果-BP network of image edges extraction, the procedure for the demonstration program, we can see BP in the application of the results
- 2022-03-04 01:15:11下载
- 积分:1
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数据挖掘中很不错的源码,一个share算法的java源程序,有极好的可读性...
数据挖掘中很不错的源码,一个share算法的java源程序,有极好的可读性-data mining is a good source, a share algorithm java source files, has an excellent readability
- 2022-07-22 23:06:02下载
- 积分:1
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新近出现的很好的计算智能算法,具有很强的鲁棒性,用它发过论文....
新近出现的很好的计算智能算法,具有很强的鲁棒性,用它发过论文.-It is a very good optimization arithmetic.
- 2023-07-11 02:10:03下载
- 积分:1
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DataMining software (integrated association rules, k
DataMining软件(集成了关联规则、k-均值聚类、模糊聚类、k-中心点聚类四种算法)
-DataMining software (integrated association rules, k-means clustering, fuzzy clustering, k-center clustering of four algorithms)
- 2022-03-09 12:32:08下载
- 积分:1
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一个完整BP神经网络源代码,包括数据和说明文档
一个完整BP神经网络源代码,包括数据和说明文档-a complete neural network source code, including data and documentation
- 2022-08-11 20:01:17下载
- 积分:1
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ISODATA算法的C++语言源代码明白
ISODATA 算法的 C++ 语言的实现源码-ISODATA algorithm C++ Realize language source
- 2022-01-25 22:31:50下载
- 积分:1
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使用逻辑编程语言Prolog语言组合的空间关系研究。
利用逻辑编程语言prolog的空间关系组合推理程序。利用的理论是约束处理规则,和空间关系表示
-use logic programming language prolog combination of the spatial relationships reasoning process. The theory is the use of binding rules, and spatial relations
- 2022-01-22 13:27:01下载
- 积分:1
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Statistical learning theory is based on a more solid theoretical basis, in order...
统计学习理论是建立在一套较坚实的理论基础之上的,为解决有限样本学习问题提供了
一个统一的框架。它能将很多现有方法纳入其中,有望帮助解决许多原来难以解决的问题(比
如神经网络结构及参数选择问题);同时。在这一理论基础上发展了一种新的通用学习方法:
支持向量机(Support Vector Machine,SVM)。它己表现出很多优秀的性能,并已经成为当
今机器学习领域的研究热点。-Statistical learning theory is based on a more solid theoretical basis, in order to solve the learning problems of limited samples provides a unified framework. It will be incorporated into many existing methods, which could help solve many of the original difficult to resolve problems (such as neural network structure and parameters selection) the same time. Developed on the basis of this theory, a new universal learning methods: support vector machine (Support Vector Machine, SVM). It has been shown a lot of excellent performance and has become the hotspot of machine learning research in the field.
- 2022-03-02 21:50:04下载
- 积分:1