Neural Network Perceptron use MFC
標簽： Perceptron Network Neural MFC
上傳時間： 2016-03-09
上傳用戶：yoleeson
《Neural Network Design》 Martin T. Hagan, Howard B. Demuth, Mark H. Beale 一書中相關matlab演示程序軟件包。對于學習很有參考。
上傳時間： 2016-03-19
上傳用戶：zhanditian
Excel 開發BP Neural network
上傳時間： 2014-01-05
上傳用戶：lps11188
MCP Neural network by excel
上傳時間： 2016-04-06
上傳用戶：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
標簽： documented designing training Network
上傳時間： 2016-04-15
上傳用戶：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.
標簽： reversible algorithm the nstrates
上傳時間： 2014-01-08
上傳用戶：cuibaigao
這程序是《神經網絡模式識別及其實現》（Pattern Recognition with Neural Networks in C++)美Abhijit S. Pandya等著電子工業出版社1999年6月 書號ISBN 7-5053-5088-9
標簽： S. Recognition Networks Pattern
上傳時間： 2014-01-01
上傳用戶：Miyuki
Neural Networks-ART Source Code
標簽： Networks-ART Neural Source Code
上傳時間： 2016-05-08
上傳用戶：GavinNeko
SVC for Neural Networks (Simon Haykin) homework 6.14
標簽： Networks homework Neural Haykin
上傳時間： 2013-12-12
上傳用戶：GavinNeko
Single Neural Net PID Controller based on RBF Identification using matlab
標簽： Identification Controller Single Neural
上傳時間： 2014-11-29
上傳用戶：ddddddos
