neural Network Perceptron use MFC
标签： Perceptron Network neural MFC
上传时间： 2016-03-09
上传用户：yoleeson
《neural Network Design》 Martin T. Hagan, Howard B. Demuth, Mark H. Beale 一书中相关matlab演示程序软件包。对于学习很有参考。
上传时间： 2016-03-19
上传用户：zhanditian
Excel 开发BP neural network
上传时间： 2014-01-05
上传用户：lps11188
MCP neural network by excel
上传时间： 2016-04-06
上传用户：nanshan
JaNet: Java neural Network Toolkit resume: A well documented toolkit for designing and training, and a java library for inclusion in third party programs. description: jaNet package is a java neural network toolkit, which you can use to design, test, train and optimize an ideal neural Network for your private application. You can then include your saved network in your program using the jaNet.backprop package. The consequent documentation is only in french for the moment, but an english translation is planned. The java source code is released under GPL, and can be compiled with JDK, Symantec Cafe or MS Visual J
标签： documented designing training Network
上传时间： 2016-04-15
上传用户：zhanditian
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
标签： reversible algorithm the nstrates
上传时间： 2014-01-08
上传用户：cuibaigao
这程序是《神经网络模式识别及其实现》（Pattern Recognition with neural Networks in C++)美Abhijit S. Pandya等著电子工业出版社1999年6月 书号ISBN 7-5053-5088-9
标签： S. Recognition Networks Pattern
上传时间： 2014-01-01
上传用户：Miyuki
neural Networks-ART Source Code
标签： Networks-ART neural Source Code
上传时间： 2016-05-08
上传用户：GavinNeko
SVC for neural Networks (Simon Haykin) homework 6.14
标签： Networks homework neural Haykin
上传时间： 2013-12-12
上传用户：GavinNeko
Single neural Net PID Controller based on RBF Identification using matlab
标签： Identification Controller Single neural
上传时间： 2014-11-29
上传用户：ddddddos
