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[Other resourcemyworkonnnet

Description: 多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial and several other data sets function regression and forecasting
Platform: | Size: 1483776 | Author: 张毅 | Hits:

[matlabAnnInMat

Description: matlab写的神经网络的几个演示程序,有的是自己写的,有的是根据别人写的改的,bp、rbf、pnn、hopfield等-matlab neural network to write a few demo program, some wrote it myself, some other people to write in accordance with the change, bp, rbf, pnn, hopfield etc.
Platform: | Size: 7168 | Author: billjie | Hits:

[matlabbpelmanrbfgrnn

Description: 预测股市的matlab程序,可以选择神经网络类型,更可以推广使用-Stock market prediction matlab program, you can choose the type of neural network, but also to promote the use of
Platform: | Size: 2048 | Author: HOODOO | Hits:

[AI-NN-PRBPRBFmatlab

Description: 本人做的BP神经网络和RBF神经网络的仿真比较,文件包有四个小程序,在matlab下运行,希望有点用。-I make the BP neural network and RBF neural network simulation of comparison, the package has four small procedures, matlab run in the hope that a little bit used.
Platform: | Size: 2048 | Author: li | Hits:

[AI-NN-PRMatlabwithgauserbf

Description: 用遗传算法优化BP神经网络的Matlab编程实例-Using genetic algorithms to optimize BP neural network Matlab programming examples
Platform: | Size: 4096 | Author: 吴志远 | Hits:

[AI-NN-PRRBFbianshi

Description: rbf神经网络应用于系统辨识,比BP网络具有较好的泛化能力,学习速度快,辨识效果好!-rbf neural network applied to system identification, than the BP network has better generalization ability, learning speed and better recognition!
Platform: | Size: 1024 | Author: liyan | Hits:

[matlabmatlabtosolve

Description: 基于MATLAB实现的说话人识别程序,分别用bp、pnn、som、rbf、lvq等算法,对语音文件进行训练和测试,效果不错。~..~ 下面说明一下bprengong程序: 数据分别用来训练和测试两部分。 具体程序分为两部分,第一部分为:计算识别模型 变量v是mfcc处理以后的矢量。因为数据可能长短不一,所以放在同一进行截取。p的每一行代表一个语音数据(共15个)。变量Pr为每一行的最大最小值。变量T为目标值。输出神经元个数为15。 在训练阶段,如果用于训练的输入训练样本的类别标号为i(即语音数据的标号),则训练时设第i个节点的期望输出设为1。其余节点期望输出均为0。 在识别时,当一个未知类别的样本作用到输入端时,考查各输出节点的输出,并将这个样本的类别判定为输出值最大的那个节点对应的类别。 -err
Platform: | Size: 658432 | Author: wang | Hits:

[matlab4

Description: 介绍神经PID控制,包括:基于神经元网络、BP神经网络、RBF神经网络等PID整定的讲解和相关的源代码-err
Platform: | Size: 752640 | Author: 大毛 | Hits:

[AI-NN-PRRBF

Description: 主要完成对RBF网络用于函数逼近的功能,是一种在逼近能力、分类能力和学习速度等方面均优于BP网络的网络。 -Completion of the RBF network primarily used for function approximation function, is an approximation ability and classification ability and learning speed, etc. are better than BP network of networks.
Platform: | Size: 1024 | Author: kk | Hits:

[matlabnn

Description: Matlab写得神经网络的训练实例,包括BP,RBF,SOFM等多种网络,适合初学者-err
Platform: | Size: 29696 | Author: pq | Hits:

[AI-NN-PRnn

Description: 线性神经网络,BP神经网络,Hopfield神经网格,Elman神经网络,RBF神经网络;在模型应用模块中实现了六种实际应用:RBF网络的船用柴油机故障诊断,BP网络的齿轮箱故障诊断,SOM网络的回热系统故障诊断,BP网络的设备状态分类器,SOM网络的人口比例样本分类,SOM网络的土壤性状样本分类。-Linear neural network, BP neural network, Hopfield neural network, Elman neural network, RBF neural network application modules in the model to achieve practical application of Six: RBF network of marine diesel engine fault diagnosis, BP network gearbox fault diagnosis, SOM network regenerative system fault diagnosis, BP network classifier equipment, SOM network the proportion of the population sample classification, SOM network classification of soil samples.
Platform: | Size: 711680 | Author: haozi | Hits:

[AI-NN-PRbpelmanrbfgrnn

Description: 可用于bp,elman,rbf,grnn四种神经网络的预测命令-Can be used for bp, elman, rbf, grnn four types of neural network prediction order
Platform: | Size: 2048 | Author: liu | Hits:

[matlabMATLABprogram

Description: 基于Matlab环境编写的一些神经网络PID控制和模糊PID控制源代码,其中包含BP pid,CMAC PID,RBF PID,BP数值逼近算法,BP预测控制以及模糊PID。-Matlab-based environment for the preparation of a number of neural network PID control and fuzzy PID control of the source code, which includes BP pid, CMAC PID, RBF PID, BP Numerical approximation algorithm, BP predictive control and fuzzy PID.
Platform: | Size: 9216 | Author: 但杨文 | Hits:

[matlabRBF

Description: 通用的Bp程序,zai MATLAB 下-RBF
Platform: | Size: 16384 | Author: wupeng | Hits:

[AI-NN-PRGA-RBF

Description: 1.利用GA算法优化RBFNN的各种权值; 2.利用RBFNN进行函数跟踪; 3.比较测试未用GA优化的和使用GA优化的RBFNN的结果。-1.Use GA algorithm to optimize a variety of weights in RBFNN 2. Use RBFNN to realize tracking function 3. Compare and test the results of using GA and not using GA.
Platform: | Size: 7168 | Author: 天天 | Hits:

[AI-NN-PRbp-rbf-neural-networks

Description: 介绍如何通过matlab使用bp神经网络和rbf神经网络来逼近非线性函数-Describes how to use matlab bp neural network and rbf neural networks to approximate nonlinear functions
Platform: | Size: 1024 | Author: 仁杰 | Hits:

[AI-NN-PRGA-to-RBF

Description: GA to RBF 神经网络,遗传算法,滤波器,MATLAB-GA to RBF neural networks, genetic algorithms, filters, MATLAB
Platform: | Size: 3072 | Author: shdfk | Hits:

[matlabRBF神经网络

Description: 利用RBF和BP神经网络中的工具箱函数去做函数逼近,(Making use of RBF neural network to do function approximation)
Platform: | Size: 24576 | Author: 涸辙犹欢 | Hits:

[matlabMATAB神经网络30个案例分析

Description: 该PDF共有30个MATLAB神经网络的案例,包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络;还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。本PDF作为本科毕业设计、研究生项日设计、博士低年级课题设计参考书籍,同时对广大科研人员也有很高的参考价值。(The PDF has a total of 30 MATLAB in the case of neural networks, including BP, RBF, SVM, SOM, Hopfield, LVQ, Elman and wavelet neural network; also contains PSO (Li Ziqun), grey neural network, fuzzy neural network, probabilistic neural network, genetic algorithm etc.. The PDF as a graduate design, graduate design and doctoral low grade project design reference books, but also for the vast number of scientific research personnel also have a high reference value.)
Platform: | Size: 47037440 | Author: 那又怎样 | Hits:

[BooksMATLAB神经网络43个案例分析

Description: 本书共有43章,内容涵盖常见的神经网络(BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等)以及相关智能算法(SVM、决策树、随机森林、极限学习机等)。同时,部分章节也涉及了常见的优化算法(遗传算法、蚁群算法等)与神经网络的结合问题。此外,本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性,如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc)
Platform: | Size: 54128640 | Author: caravan | Hits:
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