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Description: 一种基于蚁群聚类的径向基神经网络
提出了一种基于蚁群聚类算法的径向基神经网络. 利用蚁群算法的并行寻优特征和挥发系
数方法的自适应更改信息量的能力,并以球面聚类的方式确定了径向基神经网络中基函数的位置,
同时通过比较隐层神经元的相似性、合并相似性较为接近的2 个神经元来约简隐含层的神经元,以
达到简化径向基神经网络结构的目的. 实验比较了几种不同聚类算法的径向基神经网络,结果表
明,所提神经网络的整体训练时间至少可缩短40 ％ ,学习的准确率可提高1 ％以上,而且网络结构
更加精简.-An Ant clustering RBFNN presents a clustering algorithm based on the ant colony RBFN Liaison. Ant use the parallel algorithm optimization features and volatile coefficient method of adaptive changes in the volume of information, spherical cluster and the method of RBF neural network-based functions of the position, By comparing the same time hidden layer neurons of similarity, Merger similarity is closer to the two neurons to Jane about the hidden layer neurons, to achieve simplification RBF neural network structure purposes. Experimental comparison of several different clustering algorithm RBF neural network, The results show that the neural network's overall training time can be shortened at least 40%. Learning the accuracy rate can be increased by 1%, and the network is more streaml
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Size: 292558 |
Author: zhxj |
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Description: 经网络提出了一种基于蚁群聚类算法的径向基神经网络. 利用蚁群算法的并行寻优特征和挥发系数方法的自适应更改信息量的能力,并以球面聚类的方式确定了径向基神经网络中基函数的位置, 同时通过比较隐层神经元的相似性、合并相似性较为接近的2 个神经元来约简隐含层的神经元,以达到简化径向-via the Internet presents a clustering algorithm based on the ant colony RBFNN. Ant use the parallel algorithm optimization Volatile coefficient characteristics and the method of adaptive changes in the volume of information, spherical cluster and the method of RBF neural network-based functions of the position, By comparing the same time hidden layer neurons of similarity, Merger similarity is closer to the two neurons to Jane about the hidden layer neurons to achieve simplification Radial
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Size: 32313 |
Author: 何泼 |
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Description: 蚁群算法在聚类中的一个应用，不是很具体。希望和大家一起讨论这个问题。-Ant Algorithm in a cluster of application is not very specific. And we hope to discuss this issue.
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Size: 88417 |
Author: 石支柱 |
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Description: 一种基于蚁群算法的聚类组合方法，具体可以查看里面书的内容。-ant colony algorithm based on the combination of clustering methods, the specific can view the contents inside.
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Size: 141312 |
Author: 徐高波 |
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Description: 蚁群算法在聚类中的一个应用，不是很具体。希望和大家一起讨论这个问题。-Ant Algorithm in a cluster of application is not very specific. And we hope to discuss this issue.
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Size: 88064 |
Author: 石支柱 |
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Description: 一种基于蚁群聚类的径向基神经网络
提出了一种基于蚁群聚类算法的径向基神经网络. 利用蚁群算法的并行寻优特征和挥发系
数方法的自适应更改信息量的能力,并以球面聚类的方式确定了径向基神经网络中基函数的位置,
同时通过比较隐层神经元的相似性、合并相似性较为接近的2 个神经元来约简隐含层的神经元,以
达到简化径向基神经网络结构的目的. 实验比较了几种不同聚类算法的径向基神经网络,结果表
明,所提神经网络的整体训练时间至少可缩短40 ％ ,学习的准确率可提高1 ％以上,而且网络结构
更加精简.-An Ant clustering RBFNN presents a clustering algorithm based on the ant colony RBFN Liaison. Ant use the parallel algorithm optimization features and volatile coefficient method of adaptive changes in the volume of information, spherical cluster and the method of RBF neural network-based functions of the position, By comparing the same time hidden layer neurons of similarity, Merger similarity is closer to the two neurons to Jane about the hidden layer neurons, to achieve simplification RBF neural network structure purposes. Experimental comparison of several different clustering algorithm RBF neural network, The results show that the neural network's overall training time can be shortened at least 40%. Learning the accuracy rate can be increased by 1%, and the network is more streaml
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Size: 291840 |
Author: zhxj |
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Description: 经网络提出了一种基于蚁群聚类算法的径向基神经网络. 利用蚁群算法的并行寻优特征和挥发系数方法的自适应更改信息量的能力,并以球面聚类的方式确定了径向基神经网络中基函数的位置, 同时通过比较隐层神经元的相似性、合并相似性较为接近的2 个神经元来约简隐含层的神经元,以达到简化径向-via the Internet presents a clustering algorithm based on the ant colony RBFNN. Ant use the parallel algorithm optimization Volatile coefficient characteristics and the method of adaptive changes in the volume of information, spherical cluster and the method of RBF neural network-based functions of the position, By comparing the same time hidden layer neurons of similarity, Merger similarity is closer to the two neurons to Jane about the hidden layer neurons to achieve simplification Radial
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Size: 31744 |
Author: 何泼 |
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Description: 文中设计了一个3层径向基神经网络(RBFN)用于对企业的5项评价指标进行聚类分析，并与蚁群算法做了比较分析。RBFN由输入层
到隐含层采用传统的K一均值算法，隐含层到输出层通过“模2递减”学习速率的BP学习；蚁群算法根据信息素的分配能够自动调整收索
路径，从而达到数据自动聚类的目的。结果表明，与蚁群算法相比，改进RBFN具有快速收敛、自动识别奇异样本的优点，而蚁群算法
无须教师学习，并能够达到全局最优。-In this paper, we designed a 3-layer RBF neural network (RBFN) for the 5-to-business evaluation indicators cluster analysis and ant colony algorithm has done a comparative analysis. RBFN from input layer to hidden layer using the traditional K-means algorithm, hidden layer to output layer through the Mode 2 decreasing learning rate of BP learning ant colony algorithm based on pheromone can automatically adjust the allocation of land Faso path, thereby to achieve the purpose of automatic data clustering. The results showed that compared with the ant colony algorithm to improve the RBFN has a fast convergence, automatic identification of singular advantage of the sample, while the ant colony algorithm do not need teachers to learn and be able to reach the global optimum.
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Size: 165888 |
Author: luhui |
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Description: 利用蚁群聚类lf算法编的源代码，希望能给大家带来方便-ant cluster lf
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Size: 334848 |
Author: rambohe |
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Description: 一种用matlab写的群集智能算法-蚁群算法-Of a cluster with matlab to write intelligent algorithm- ant colony algorithm
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Size: 1024 |
Author: 小华 |
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Description: Cluster analysis one of the several important tools in
modern data analysis, and the clustering can be regarded
as an optimization problem. The underlying assumption is
that there are natural tendencies of cluster or group
structure in the data and the goal is to be able to uncover
this structure. In general, traditional clustering
algorithms are suitable to implement clustering only if the
feature differences of data are large.-Cluster analysis is one of the several important tools in
modern data analysis, and the clustering can be regarded
as an optimization problem. The underlying assumption is
that there are natural tendencies of cluster or group
structure in the data and the goal is to be able to uncover
this structure. In general, traditional clustering
algorithms are suitable to implement clustering only if the
feature differences of data are large.
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Size: 247808 |
Author: rishi |
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Description: A fault identification with fuzzy C-Mean clustering
algorithm based on improved ant colony algorithm (ACA) is
presented to avoid local optimization in iterative process of
fuzzy C-Mean (FCM) clustering algorithm and the difficulty in
fault classification. In the algorithm, the problem of fault
identification is translated to a constrained optimized
clustering problem. Using heuristic search of colony can find
good solutions. And according to the information content of
cluster center, it could merger surrounding data together to
cause clustering identification. The algorithm may identify
fuzzy clustering numbers and initial clustering center. It can
also prevent data classification from causing some errors.
Thus, applying in fault diagnosis shows validity of computing
and credibility of identification results.
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Size: 273408 |
Author: rishi |
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Description: 按照蚁群聚类法对全体样品进行分类(已知聚类数目)-In accordance with the Ant Colony clustering method to classify the samples of the whole (known cluster number)
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Size: 6144 |
Author: shejie |
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Description: 一个很好用现代智能优化算法，蚁群聚类优化算法的实现过程，实现结果很好-Ant cluster implementation of algorithm is kind, nice algorithm is a very good modern intelligent optimization algorithm, ant cluster of process to realize the optimization algorithm, realize the result is good
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Size: 8192 |
Author: wangjialiao |
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Description: 蚁群聚类算法，matlab语言编写，有使用说明，程序运行无误。-ant cluster algorithm，use matlab，there is the use statement,the sofeware can rightly run.
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Size: 39936 |
Author: 2008 |
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Description: 基于UCI测试数据集的蚁群聚类算法，VC6.0实现-an ant cluster algorithm based on UCI dataset
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Size: 2181120 |
Author: chentianhui |
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Description: 一个简单的蚁群算法实现，非常适合刚开始学习蚁群算法的同学-a simple ant cluster algrithm complete
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Size: 2102272 |
Author: 覃为广 |
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Description: 蚁群聚类算法，修改输入数据可直接运行，分组效果很好。-GA-Ant cluster algorithm，it can directly run by revamping the input data. The effect is very good.
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Size: 3072 |
Author: 高小力 |
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Description: This paper tell abou clustering with ant colony algorithm by pheromone
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Size: 557056 |
Author: syarif |
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Description: This paper tell about hybrid ant colony- kmeans algorithms. Clustered by ant colony is used for initial cluster for kmean algorithm.
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Size: 528384 |
Author: syarif |
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