Description: 粒子群优化算法(PSO)是一种进化计算技术(evolutionary computation)，有Eberhar博士和kennedy博士发明。源于对鸟群捕食的行为研究 ，PSO同遗传算法类似，是一种基于叠代的优化工具。
-Particle Swarm Optimization (PSO) is an evolutionary computation technique (evolutionary computation), and has Eberhar Dr. Dr. kennedy invention. Stems from the behavior of predatory birds, PSO with genetic algorithm is similar to an iterative optimization-based tools. Platform: |
Size: 2048 |
Author:叶开 |
Hits:
Description: 本文的题目是基于分形和遗传算法的人脸识别方法，对有限人群提出一种采用分形特征和遗传聚类的识别方法: 将图像分成很多小区域, 分别计算各个区域的分形特征, 以充分利用图像二维信息 同一个模式有多个样本, 通过遗传算法进行聚类以得到最优解实现不变性识别. 最后采用ORL 人脸图像库的一组图像对比了新方法、本征脸法和自联想神经网络方法, 结果表明该方法的识别率, 与本征脸法相似, 比自联想神经网络高.-The title of this article is based on fractal and genetic algorithms for face recognition method, a crowd of limited use of fractal characteristics and the identification of genetic clustering methods: the image is divided into many small regions, each region were calculated fractal characteristics, to take full advantage of two-dimensional image information with a model for a number of samples, through the genetic clustering algorithm in order to obtain the optimal solution to achieve invariant recognition. Finally, using ORL face image database of a group of image contrast of the new methods, eigenface law and auto-associative neural network methods, results show that the method of recognition rate, with the eigenface method is similar to auto-associative neural network than high. Platform: |
Size: 380928 |
Author:阳关 |
Hits:
Description: 聚类算法，数字和图形，包括了多种算法，聚类分析，模糊算法，遗传算法等，VC++的
很好的学习程序-Clustering algorithm, numbers and graphics, including a variety of algorithms, cluster analysis, fuzzy algorithm, genetic algorithm, etc., VC++ A good learning process Platform: |
Size: 7920640 |
Author:1111111 |
Hits:
Description: 一个用VC编写的聚类案例，可以实现C聚类、模糊聚类和应用遗传算法对样品进行聚类分析
-Written in a cluster with VC cases, can be achieved C clustering, fuzzy clustering and genetic algorithm for cluster analysis of samples Platform: |
Size: 7714816 |
Author:刘钢 |
Hits:
Description: 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。-Fuzzy C-means algorithm converges to local minimum points easily, in order to overcome the shortcomings of genetic algorithm is applied to fuzzy C-means algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and then use the standard Fuzzy C-Means clustering algorithm to obtain the optimal classification result. Platform: |
Size: 1024 |
Author:zsy |
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: 为寻求复杂多峰函数的全局最优解问题, 提出了新型混合算法。该算法由带共享函数
的遗传算法、移民技术、聚类算法和改进的Pow ell 算法组成。由于上述算法的有机配合, 提高了
混合算法的全局和局部搜索能力。油藏系统应用实例和仿真实例证明了算法的有效性-Complex multimodal function to find a global optimal solution of problem, a new hybrid algorithm. The algorithm functions by a genetic algorithm with sharing, migration technology, clustering algorithm and the improved algorithm is composed of Pow ell. As the organic with the above algorithm, a hybrid algorithm to improve the global and local search capabilities. Reservoir system application examples and simulation results demonstrate the effectiveness of the algorithm Platform: |
Size: 346112 |
Author:赵 |
Hits:
Description: 遗传算法解决聚类问题。.边的权重与时间关系为：1-（用户最近标注时间-该边被标注时间)*0.01,时间间隔以月计，相差一个月权重相差0.01,最近标注的权重为1
2.边的权重通过端点的出度调整
3.若用户没有共现标签，则以其权重最大的部分标签自连接构造标签对
4.若用户标签对少于预设大小，则将其拥有的标签对重复多次，直到数量与预设大小相等-Clustering genetic algorithm to solve the problem. . While the weight and time are: 1- (user recently marked the time- the edge is marked time)* 0.01, the time interval in months, a difference of a month the weight difference of 0.01, recently marked the weight is 1 2 edge weight degree of adjustment by the end of the 3 co-occurrence, if the user does not label, then the weight of the largest part of its label from the label of the connecting structure (4) If the user label for less than the default size, it is repeated several times with the labels until equal to the number and the default size Platform: |
Size: 9123840 |
Author:S514506227 |
Hits:
Description: The problem of intrusion detection has been studied and received a lot of attention in
machine learning and data mining in the literature survey. The existing techniques are not
effective to improve the classification accuracy and to reduce high false alarm rate.
Therefore, it is necessary to propose new technique for IDS. In this work, we propose a
new K-means clustering method with a different Preprocessing and Genetic Algorithm
for identifying intrusion and classification for both anomaly and misuse.
The experiments of the proposed IDS are performed with KDD cup’99 data set. The
experiments will clearly results the proposed method provides better classification
accuracy over existing method. Platform: |
Size: 400384 |
Author:Sumit |
Hits:
Description: 基本蚁群聚类算法及其改进算法[带Matlab源代码]
该算法，解决了不收敛的问题，聚类效果非常好（效果图如附件图片所示）。
改进的蚁群算法是基于遗传算法的改进，在基本遗传算法的基础之上，加入了变异因子，
产生变异，从而更快的收敛。
-The basic ant clustering algorithm and its improved algorithm with Matlab source code of the algorithm to solve the non-convergence problems, the clustering effect is very good (image such as shown in the attached images). Improved ant colony algorithm is a genetic algorithm-based improvements in the basic genetic algorithm based on the added factor of variation, mutation, and thus faster convergence. Platform: |
Size: 260096 |
Author:陈魁 |
Hits:
Description: In this paper, a novel Discrete Particle Swarm Optimization Algorithm
(DPSOA) for data clustering has been proposed. The particle positions and velocities
are defined in a discrete form. The DPSOA algorithm uses of a simple probability
approach to construct the velocity of particle followed by a search scheme to
constructs the clustering solution. DPSOA algorithm has been applied to solve the
data clustering problems by considering two performance metrics, such as TRace
Within criteria (TRW) and Variance Ratio Criteria (VRC). The results obtained by
the proposed algorithm have been compared with the published results of Basic
PSO (B-PSO) algorithm, Genetic Algorithm (GA), Differential Evolution (DE) algorithm
and Combinatorial Particle Swarm Optimization (CPSO) algorithm. The
performance analysis demonstrates the effectiveness of the proposed algorithm in
solving the partitional data clustering problems. Platform: |
Size: 195584 |
Author:ali |
Hits:
Description: 聚类算法的实现，结合遗传算法的实现方案，原创代码。还有个kmp算法的实现，请参见kmp.c-Clustering algorithm, combined with genetic algorithm implementation, the original code. There achieve a kmp algorithm, see kmp.cpp Platform: |
Size: 1513472 |
Author:Huapeng |
Hits:
Description: Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM--Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM-NN Platform: |
Size: 91136 |
Author:mohsen |
Hits:
Description: Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM--Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM-NN Platform: |
Size: 13312 |
Author:mohsen |
Hits:
Search - Genetic algorithm with clustering