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基于遗传和蚁群混合算法的图像配准算法
需要利用matlab遗传工具箱,Based on genetic and ant colony algorithm for hybrid image registration algorithm need to use genetic toolbox matlab
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在Visual C++下实现聚类分析在图像识别中的应用。其中包括模糊聚类,遗传算法聚类分析,层次聚类和动态聚类等算法。可以运行,并有分类的源文件。是不错的研究素材。,In Visual C++ Achieve clustering analysis in image recognition applications. Including fuzzy clustering, genetic algorithm for cluster analysis, hierarchical clusterin
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遗传算法改进的模糊C均值聚类的matlab源程序 可以运行 格式需要更改,Improved genetic algorithm fuzzy C-means clustering can run the matlab source code need to change format
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遗传算法改进的模糊C-均值聚类MATLAB源码
模糊C-均值算法容易收敛于局部极小点,为了克服该缺点,将遗传算法应用于模糊C-均值算法(FCM)的优化计算中,由遗传算法得到初始聚类中心,再使用标准的模糊C-均值聚类算法得到最优分类结果。
-Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and the
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智能控制理论算法实现:层次聚类,hopfield网络和遗传传算法优化三个源代码文件-Intelligent control theory algorithms: hierarchical clustering, hopfield network and genetic algorithm optimization three source codes
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基于遗传模拟退火算法的聚类算法。将模拟退火算法与遗传算法相结合用于聚类分析,由于模拟退火算法和遗传算法可以互相取长补短,因此有效地克服了传统遗传算法的早熟现象,同时根据聚类问题的具体情况设计遗传编码方式、适应度函数,使该算法更有效、更快速地收敛到全局最优解。
-Genetic simulated annealing algorithm based on clustering algorithms. Simulated annealing algorithm and genetic algo
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基本粒子群优化算法
遗传算法,基于聚类,梯度,最小二乘法的RBF网络程序等5个代码-Elementary particle swarm optimization algorithm genetic algorithm, based on clustering, gradient, least-squares method of RBF network program such as 5 code
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遗传算法改进的模糊C均值聚类的matlab源程序,可以运行,格式需要更改-Improved genetic algorithm fuzzy C means clustering matlab source code, you can run, you need to change the format
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这个程序主要提高了神经网络,遗传算法,聚类等多种人工智能算法,采样c++编程,,很精简-This process mainly to improve the neural networks, genetic algorithms, clustering and many other artificial intelligence algorithms, sampling c++ Programmed, it is streamlined
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基于直方图的遗传聚类算法,用于图象分割,功能相当强大。-Histogram-based genetic clustering algorithm for image segmentation, function quite powerful.
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根据节点分区情况,确定成簇数目是分簇算法设计的重点,这两个算法对成簇数目进行优化,均匀节点能耗,延长网络寿命。-According to the node partition, determine the number of clusters is a clustering algorithm is designed to focus on these two algorithms to optimize the number of clusters, uniform node energy c
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图像模式识别聚类分析、模糊聚类、遗传算法聚类-Cluster analysis of image pattern recognition, fuzzy clustering, genetic algorithm clustering
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是遗传聚类的demo,参照自己的数据对程序进行小小的改编即可,使用简单方便。-Are genetic clustering demo, with reference to its own data on the procedure can be little adaptation, the use of easy and convenient.
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FCM,PCM聚类算法MATLAB程序
遗传FCM算法-FCM, PCM clustering algorithm FCM algorithm Genetic MATLAB program
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本文在阅读大量遗传算法小生境技术资料基础上,介绍了遗传算法的特点、物种形成和小生境技术,详细陈述上世纪80年代以来的各种小生境实现方法,包括共享函数法、确定性排挤法、可变半径的聚类算法和隔离小生境方法等;最后对小生境遗传算法的工程应用提出了展望。
-In this paper, a lot of reading technical information niching genetic algorithm based on the characteristics of genetic alg
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kmeans clustering genetic algorithms
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手写数字识别,分为分类程序(模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器)和聚类程序(模糊聚类、遗传算法)-Handwritten numeral recognition, is divided into classification procedures (template matching classifier, Bayes classifier, a linear function of classification, non-linear classif
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数据挖掘,聚类,遗传算法,k-means算法,基于遗传算法的k-means聚类方法。-Data mining, clustering, genetic algorithm, k-means algorithm, based on genetic algorithm k-means clustering method.
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内包含:模糊聚类 遗传算法聚类 层次聚类法的各方法以及动态聚类的各个算法 -Contains: Fuzzy clustering genetic algorithm clustering hierarchical clustering and dynamic clustering of various methods of the various algorithms
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hallenge to the use of supervised neural networks in data mining applications
is to get explicit knowledge from these models. For this purpose, a clustering genetic algorithm
for rule extraction from artiÞ cial neural networks is developed. T
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