Description: 基于遗传聚类的彩色图像分割,用caj 打开，很好的毕业论文-based on genetic clustering color image segmentation, PRODUCTS opened with a good thesis Platform: |
Size: 2435072 |
Author:sdfdf |
Hits:
Description: 本人的期刊论文,研究蚁群聚类算法与遗传算法的融合,实践证明效果显著-my journal articles, research Ant clustering algorithm and genetic algorithm integration, and practice has proven remarkably Platform: |
Size: 153600 |
Author:zyq |
Hits:
Description: 几种重要的聚类程序，如动态聚类，模糊聚类，以及一个遗传算法程序-clustering several important processes, such as dynamic clustering, fuzzy clustering, as well as a Genetic Algorithm Platform: |
Size: 6777856 |
Author: |
Hits:
Description: 改进的多目标遗传算法聚类，效果很好，文章发表于2007念得IEEE TRANSACTIONS-Improved multi-objective genetic algorithm clustering, the effect of a very good article published in 2007 read IEEE TRANSACTIONS Platform: |
Size: 1390592 |
Author:qianwen |
Hits:
Description: 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 consumption, extend the network lifetime. Platform: |
Size: 774144 |
Author:苏可 |
Hits:
Description: 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 clustering and dynamic clustering algorithm, etc.. Can run, and the classification of the source file. Is a good study material. Platform: |
Size: 229376 |
Author:dd |
Hits:
Description: 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 algorithms introduced, species formation and niche technologies, described in detail since the last century, 80 years to achieve a variety of niche methods, including sharing function method, deterministic exclusion method, variable radius clustering algorithm and isolation niche etc. Finally, the niche genetic algorithm for engineering application prospects made.
Platform: |
Size: 30720 |
Author:崔暁魏 |
Hits:
Description: 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 classification, neural network classifiers) and the clustering procedure (fuzzy clustering, genetic algorithms) Platform: |
Size: 757760 |
Author:沉浮沉 |
Hits:
Description: 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 Platform: |
Size: 5120 |
Author:李慧 |
Hits:
Description: 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 Platform: |
Size: 3973120 |
Author:王慧 |
Hits:
Description: 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. The methodology is based on the
clustering of the hidden unit activation values. A simple encoding scheme that yields to constant-
length chromosomes is used, thus allowing the application of the standard genetic operators. Besides,
a consistent algorithm to avoid some of the drawbacks of this kind of representation is also developed.
The individual Þ tness is determined b Platform: |
Size: 348160 |
Author:asad |
Hits:
Description: 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 algorithm are combined for cluster analysis, the simulated annealing algorithm and genetic algorithm can complement each other, thus effectively overcome the premature convergence of the traditional genetic algorithm, and clustering problem based on the specific circumstances of the design of genetic encoding , fitness function, making the algorithm more effective, more quickly converge to the global optimal solution. Platform: |
Size: 6144 |
Author:杨剑浩 |
Hits:
Search - clustering genetic