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Description: DNA分类，包含三中模式识别经典算法的实现：K紧邻，BP神经网络，概率神经网络。-DNA classification, which includes three classic pattern recognition algorithm to achieve : K borders, BP neural networks, probabilistic neural network.
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Size: 192512 |
Author: 郭瑞杰 |
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Description: RBF神经网络的K均值算法，C程序的，供大家参考！-RBF neural network algorithm mean K, C procedures, for your reference!
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Size: 29696 |
Author: hxm |
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Description: BP神经网络的C语言实现 BP神经网络解决异或问题 canny源代码 HMM的C语言实现 isodata K-MEANS 车牌识别系统 矢量量化的C语言实现 -Neural Network C language BP neural network solution differences or problems canny source HMM C language isodata K-MEANS License Plate Recognition System Vector Quantization C Language
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Size: 794624 |
Author: liang |
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Description: 一个基于K均值聚类的ＲＢＦ神经网络，注释写的很明白，有不明白的地方可以发邮件问我。-a K-means clustering based on the RBF neural network, notes written very well, did not understand the local mail can ask me.
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Size: 2048 |
Author: bruce |
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Description: K均值法，神经网络很有用
不同于BP神经网络的算法-K-means, useful neural network is different from the BP neural network algorithm
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Size: 208896 |
Author: 王昱 |
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Description: 神经网络中的K均值聚类算法II：
1.KMIn为输入数据文本，其中，第一个参数为所要聚类点个数，第二个参数为聚类点的维数,第三个参数为所要求聚类的个数
2.KM2OUT为经过K均值聚类算法II计算后得到的结果-Neural network in K-means clustering algorithm II: 1.KMIn input data for the text, of which the first parameter to be the number of clustering points, the second parameter is the dimension of clustering points, the third parameter for the clustering the number of requests for 2.KM2OUT after K-means clustering algorithm II calculation results
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Size: 277504 |
Author: blue8202 |
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Description: 本程序实现多种聚类算法，如k均值算法，ISODATA法，神经元网络算法-This procedure to achieve a variety of clustering algorithms, such as k-means algorithm, ISODATA method, neural network algorithm
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Size: 8465408 |
Author: 111111 |
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Description: 现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡-The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of
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Size: 2048 |
Author: ben |
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Description: 基于k均值聚类学习算法的rbf神经网络实现-K-means clustering-based learning algorithm of rbf neural network
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Size: 1024 |
Author: 吴强 |
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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: Neural Network C language BP neural network solution differences or problems canny source HMM C language isodata K-MEANS License Plate Recognition System Vector Quantization C Language
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Size: 168960 |
Author: mjdkadh |
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Description: Matlab环境下实现的RBF神经网络K均值聚类算法-Matlab environment to achieve the RBF neural network K-means clustering algorithm
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Size: 2048 |
Author: 心心 |
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Description: 聚类算法：聚类分析是指事先不了解一批样品中的每一个样品的类别
基于k均值聚类学习算法的rbf神经网络实现-Clustering algorithm: cluster analysis is the prior knowledge of each batch of samples in the sample of category learning algorithm based on k means clustering of rbf neural network
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Size: 1024 |
Author: xw |
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Description: 基于K-means聚类算法的社团发现方法
先定义了网络中节点关联度,并构建了节点关联度矩阵, 在此基础上给出了一种基于 K-means聚类算法的复杂网络社团发现方法。
以最小关联度原则选取新的聚类中心, 以最大关联度原则进行模式归类,直到所有的节点都划分完为止, 最后根据模块度来确定理想的社团数-K-means clustering algorithm based on the association discovery
To define a network node correlation, and build the node correlation matrix in this basis, given a K-means clustering algorithm based on a complex network of associations that way.
The principle of the minimum correlation to select a new cluster center to the principle of maximum correlation pattern classification until all the nodes are divided until the end, the last under the module to determine the degree of the ideal number of community
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Size: 115712 |
Author: maverick |
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Description: K-means 动态聚类算法，在人工智能、神经网络中应用非常广泛-Dynamic K-means clustering algorithm in artificial intelligence, neural network is widely used in
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Size: 29696 |
Author: 楚天 |
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Description: k均值算法，一种聚类算法，用来实现网络上相近节点的映射。-k-means algorithm, a clustering algorithm, used to achieve similar nodes in the network mapping.
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Size: 17408 |
Author: yangliu |
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Description: k均值聚类算法,初始随机给定k个簇中心，根据邻近原则，把待分类的样本点分到各个簇。-k-means clustering algorithm,which is applied in RBF neural network.
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Size: 1024 |
Author: 吴元元 |
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Description: 自己编写的RBF聚类程序，采用K均值聚类算法，希望对大家游泳！-Based on RBF neural network program code K-means clustering！
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Size: 6144 |
Author: lkp |
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Description: EEG signals classification using the K-means clustering and a multilayer perceptron neural network model
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Size: 2897920 |
Author: ALi |
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Description: K-means Code Description
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Size: 4096 |
Author: H.Shariat
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