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 |
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Description: This paper describes the clustering problem first, and
then utilizes the genetic algorithm to implement the optimization
of clustering methods. Based on the optimized
clustering on the sample data, we get various categories of
the relation between traffics and attack amounts, and then
builds up several prediction sub-models about DoS attack.
Furthermore, according to the Bayesian method, we deduce
discrete probability calculation about each sub-model
and then get the distribution discrete probability prediction
model for DoS attack. Platform: |
Size: 169984 |
Author:ahmed |
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Description: Fuzzy system is good at express people s experiential
knowledge. It can deal with vague information. It can solve the
intelligent questions better. Fuzzy clustering methods have
been used widely in pattern recognition. Combine fuzzy
systems with genetic-neural Network Algorithm not only make
the algorithm more efficient, but also to address the intelligent
questions better. It has become a hot research. Platform: |
Size: 396288 |
Author:feiminyu |
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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 |
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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 |
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Description: 遗传算法改进的模糊C-均值聚类MATLAB源码。用单纯形法来做的-Improved genetic algorithm fuzzy C- means clustering MATLAB source. To do with the simplex method Platform: |
Size: 5120 |
Author:郑晨 |
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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终的分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum point, in order to overcome this drawback, the genetic algorithm is applied to fuzzy C- means algorithm (FCM) optimization calculations by the genetic algorithm initial cluster centers, and then using standard fuzzy C- means clustering algorithm to obtain the final classification results. Platform: |
Size: 198656 |
Author:胡丹丹 |
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Description: 遗传算法是人工智能领域的一个重要算法,这篇文章讲述了其用于聚类的原理。-Genetic algorithm is an important algorithm in artificial intelligence, the article describes the principles for clustering. Platform: |
Size: 731136 |
Author:Gary Bu |
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Description: 遗传算法用在聚类方式时,其中的一个重要应用就是k-means算法,本文给出了源代码。-When the genetic algorithm used in the clustering mode, which is an important application of k-means algorithm, this paper presents the source code. Platform: |
Size: 1485824 |
Author:Gary Bu |
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Description: 这是遗传算法改进的模糊C-均值聚类MATLAB源代码,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终的分类结果。-This is the MATLAB source code of the improved fuzzy c-means clustering(FCM) based on the genetic algorithm(GA).The initial cluster centers are otained through GA,and the final cluster centers are obtained using the standard FCM. Platform: |
Size: 1024 |
Author:简川霞 |
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Description: 本程序介绍了聚类分析的各种算法,包括层次、动态、模糊和遗传算法,对数值进行模式识别。-This procedure describes the various clustering algorithms, including the level of dynamic, fuzzy and genetic algorithms, pattern recognition value. Platform: |
Size: 10416128 |
Author:zhanghao |
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Description: 遗传算法优化BP神经网络、改进的模糊C-均值聚类、遗传算法(粒子群算法、人工鱼群算法等)的投影寻踪模型等遗传算法的简单集合。-Genetic algorithm to optimize the BP neural network, an improved fuzzy C- average clustering and genetic algorithm,(particle swarm optimization (pso), artificial fish algorithm, etc.) of the projection pursuit model: collection of simple genetic algorithm (ga). Platform: |
Size: 7168 |
Author:陈孝君 |
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Description: 智能计算主要程序源码,有matlab的模糊聚类图像分割,还有VC++编写的模拟退火和遗传算法。-Intelligent Computing The main program source code, there is matlab fuzzy clustering image segmentation, as well as VC++ Prepared simulated annealing and genetic algorithms. Platform: |
Size: 15812608 |
Author:魏琳 |
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Description: 遗传算法和粒子群算法,应用于优化据数据集的聚类中心,结合FCM算法应用聚类分析的几篇文献。-Genetic algorithm and particle swarm optimization (pso) algorithm, are applied to optimization the clustering center of the data set Platform: |
Size: 4845568 |
Author:jiejie |
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