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! Platform: |
Size: 30013 |
Author:hxm |
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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! Platform: |
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 Platform: |
Size: 794624 |
Author:liang |
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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 Platform: |
Size: 277504 |
Author:blue8202 |
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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. Platform: |
Size: 165888 |
Author:luhui |
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Description: RBF(径向基神经网络)网络是一种重要的神经网络,RBF网络的训练分为两步,第一步是通过聚类算法得到初始的权值,第二步是根据训练数据训练网络的权值-RBF (radial basis function neural network) network is an important neural network, RBF network training is divided into two steps, first step is to get through the initial clustering algorithm weight, the second step is the training of the network based on training data weight Platform: |
Size: 7168 |
Author:小龙 |
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Description: 基于聚类的径向基神经网络的设计算法,采用的是K均值聚类。实现函数拟合!-The design algorithm of radial basis function neural network based on clustering, using the K mean clustering. Realize the function fitting! Platform: |
Size: 1024 |
Author:范敬柱 |
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Description: 非常好用的模糊神经网络程序,中间的K-mean方法比较简单,自己添加以下即可!-The program very easy to use fuzzy neural network, k-mean middle part is relatively simple, what you can add your own! Platform: |
Size: 2048 |
Author:尹会进 |
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Description: 使用k-mean确定RBF网络隐层中心点,后使用改进的梯度下降算法实现径向基神经网络的c++源程序,开发环境vs2010,可直接加载到自己的项目中。-Determined using k-mean RBF hidden layer center, the use of the improved gradient descent algorithm RBF neural network c++ source code, development environment vs2010 Platform: |
Size: 4096 |
Author:zhangwanli |
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Description: RBF(径向基神经网络)网络是一种重要的神经网络,RBF网络的训练分为两步,第一步是通过聚类算法得到初始的权值,第二步是根据训练数据训练网络的权值。RBF权值的初始聚类方法较为复杂,比较简单的有K均值聚类,复杂的有遗传聚类,蚁群聚类等,这个RBF网络的程序是基于K均值聚类的RBF代码。(RBF (radial basis function network) is an important neural network. The training of RBF network is divided into two steps. The first step is to get the initial weight by clustering algorithm, and the second step is to train the weight of the network according to training data. The initial clustering method of RBF weights is relatively complex. There are relatively simple K mean clustering, complex genetic clustering, ant colony clustering, etc. this RBF network is based on K means clustering RBF code.) Platform: |
Size: 6144 |
Author:老外
|
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Description: 包含了RBF源代码,可以用于RBF神经网络编程,其中包括RBF聚类,K均值聚类等(It includes the RBF source code, which can be used for RBF neural network programming, including RBF clustering, K mean clustering, etc.) Platform: |
Size: 8192 |
Author:小梦321 |
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Description: SURROGATES工具箱是一个多维函数逼近和优化方法的通用MATLAB库。当前版本包括以下功能:
实验设计:中心复合设计,全因子设计,拉丁超立方体设计,D-optimal和maxmin设计。
代理:克里金法,多项式响应面,径向基神经网络和支持向量回归。
错误和交叉验证的分析:留一法和k折交叉验证,以及经典的错误分析(确定系数,标准误差;均方根误差等;)。
基于代理的优化:高效的全局优化(EGO)算法。
其他能力:通过安全裕度进行全局敏感性分析和保守替代。(SURROGATES Toolbox is a general-purpose MATLAB library of multidimensional function approximation and optimization methods. The current version includes the following capabilities:
Design of experiments: central composite design, full factorial design, Latin hypercube design, D-optimal and maxmin designs.
Surrogates: kriging, polynomial response surface, radial basis neural network, and support vector regression.
Analysis of error and cross validation: leave-one-out and k-fold cross-validation, and classical error analysis (coefficient of determination, standard error; root mean square error; and others).
Surrogate-based optimization: efficient global optimization (EGO) algorithm.
Other capabilities: global sensitivity analysis and conservative surrogates via safety margin.) Platform: |
Size: 362496 |
Author:pluto1888 |
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