Description: 用主成分分析与神经网络进行人脸的识别
文件是整个的ＭＡＴＬＡＢ数据文件-using principal component analysis and neural networks face identification document is the entire data file MATLAB Platform: |
Size: 32768 |
Author: |
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Description: 该程序专门用于检验bp神经网络的连接权值-devoted to the testing procedures bp neural networks and the connection weights Platform: |
Size: 1024 |
Author:张凌 |
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Description: 人工神经网络与matlab
,有很多源程序,对学习神经网络很有帮助-artificial neural networks and Matlab, there are many sources of useful learning neural network Platform: |
Size: 23552 |
Author:xz |
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Description: LMS 最小军方误差算法仿真
可用于人工神经网络和自适应滤波-military smallest error LMS algorithm can be used for simulation of artificial neural networks and adaptive filtering Platform: |
Size: 1024 |
Author:胡 |
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Description: This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.-This demo nstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar-xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters. Platform: |
Size: 220160 |
Author:晨间 |
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Description: 本文设计了一种简单的实用数字水印系统。详细论述了二值数字水印的嵌入与提取算法以及具体实现，并对其抗攻击能力作了一定程度的分析。最后利用MATLAB工具实现了一个简单的基于空域变换与BP神经网络的实用数字水印系统。-In this paper, design a simple and practical digital watermarking system. Discussed in detail binary digital watermark embedding and extraction algorithms as well as the concrete realization, and its anti-attack capability of the analysis to a certain extent. Finally the use of MATLAB tools for the realization of a simple space-based transform and BP neural networks of practical digital watermarking system. Platform: |
Size: 1164288 |
Author:亓先军 |
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Description: 为了选择神经网络的最好结构以及增强模型的推广能力，提出一种自适应支持向量回归神经网络(SVR—NN)。SVR—NN 用支持向量回归(SVR)方法获得网络的初始结构和权值， 白适应地生
成网络隐层结点，然后用基于退火过程的鲁棒学习算法更新网络结点疹教和权 主。 SVR—NN有很
好的收敛性和鲁棒性，能抑制由于数据异常和参数选择不当所导致的“过拟合，’现象。将SVR—NN
应用到时间序列预测上。结果表明，SVR．NN预测模型能精确地预测混沌时间序列，具有很好的
理论和应用价值。-Abstract：To select the‘best’structure of the neural networks and enhance the generalization ability of models．a support
vector regression neural networks fSVR-NN)was proposed．Firstly，support vector regression approach was applied to
determine initial structure and initial weights of SVR．NN SO that the number of hidden layer nodes can be constructed
adaptively based on support vectors．Furthermore，an annealing robust learning algorithm was further presented to fine
tune the hidden node parameters and weights of SVR一ⅣM The adaptive SVR．NN has faSt convergence speed and robust
capability．and it can also suppress the ‘orerfitting’phenomena when the train data ncludes outliers．The adaptive
SVR．NN was then applied to time series prediction．Experimental results show that the adaptive SVR．ⅣⅣ can accurately
predict chaotic time series，and it iS valuable in both theory and application aspects． Platform: |
Size: 316416 |
Author:11 |
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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 |
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Description: Simulink 控制VR环境中的小车。小车有5个距离传感器，能够慢慢学会避开墙壁和障碍物。小车采用加强学习（Q learning），采用神经网络对Q函数逼近。由于使用了模拟退火，小车在开始的时候会经常撞击障碍物，10次后基本就不会再撞了。
小车的外观模型使用了"w198406141"在本论坛的虚拟现实区发布的VR模型。-VR environment Simulink control car. There are 5 car distance sensor, can gradually learn to avoid walls and obstacles. Car used to enhance learning (Q learning), using neural networks Q function approximation. As the use of simulated annealing, the car will start when the regular crash barrier, 10 times the fundamental will no longer hit. The appearance model used car " w198406141" in this forum area of virtual reality VR model release. Platform: |
Size: 12288 |
Author:gao |
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Description: The aim of this book is to furnish some theoretical concepts and to
sketch a general framework for computational intelligence paradigms
such as artificial neural networks, fuzzy systems, evolutionary computation,
genetic algorithms, genetic programming, and swarm intelligence.
The book includes a large number of intelligent computing methodologies
and algorithms employed in computational intelligence research. The
book also offers a set of solved programming examples related to computational
intelligence paradigms using MATLAB software. Additionally,
such examples can be repeated under the same conditions, using different
data sets. Researchers, academicians, and students in computational intelligence can use this book to verify their ideas related to evolution dynamics,
self-organization, natural and artificial morphogenesis, emergent
collective behaviors, swarm intelligence, evolutionary strategies, genetic
programming, and evolution of social behaviors. Platform: |
Size: 6013952 |
Author:Umar |
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Description: 神经网络与模糊控制 Neural network and fuzzy control，结合二者优点的好书，好好珍惜啊-Neural networks and fuzzy control Neural network and fuzzy control, combined with the advantages of the two books, treasure ah Platform: |
Size: 6587392 |
Author:lbp |
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Description: 这是本人编写的matlab的GUI程序，可以实现交互式的界面。里面的程序是bp神经网络的应用，另一个回归分析的程序还没有写。可以实现的功能是利用神经网络，然后上传数据，根据数据训练网络，然后可以输入部分数据，验证网络。-This is my GUI program written in matlab, you can achieve interactive interface. Bp inside the program is the application of neural networks, another regression analysis of the program has not yet written. Function can be achieved is the use of neural networks, and then upload the data, according to data training network, then you can enter some data, verify the network. Platform: |
Size: 5120 |
Author:fansy |
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Description: 关于神经网络和matlab在一起的应用，可以解读神经网络的相关知识-Matlab on neural networks and applications together, you can interpret the neural network knowledge Platform: |
Size: 10240 |
Author:mike |
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Description: 本书重点介绍了ＭＡＴＬＡＢ６.５神经网络工具箱中各种神经网络模型及基本理论，以及各种神经网络模型的MATLAB仿真程序设计方法，提供了MATLAB中神经网络工具箱函数的详解，对图形用户界面、SIMULINK和自定义神经网络等内容也进行了简介。-This book focuses on the neural network toolbox MATLAB6.5 various neural network models and basic theory, and a variety of neural network model of the MATLAB simulation program design, provides a neural network toolbox in MATLAB functions Detailed, graphics user interface, SIMULINK and custom neural networks and other content have also been Introduction. Platform: |
Size: 24849408 |
Author:天民 |
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Description: Matlab ebooks for basic and advances learning
Neural Networks and information security book Platform: |
Size: 23378944 |
Author:peterson |
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Description: 使用 matlab GUI来设计神经网络，便于开发应用(Matlab GUI is used to design neural networks, which is easy to develop and apply) Platform: |
Size: 3072 |
Author:lubyn
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