SpikeLM: A Second-Order Supervised Learning Algorithm for Training Spiking Neural networks Introduction Preliminaries SpikeLM algorithm Experimental validation Conclusions
标签： Second-Order Supervised Algorithm Learning
上传时间： 2014-01-13
上传用户：zhuimenghuadie
We shall revisit the limitations of the two-layer networks of the previous one.
标签： the limitations two-layer networks
上传时间： 2016-02-27
上传用户：shus521
这程序是《神经网络模式识别及其实现networks in C++)美Abhijit S. Pandya等著的HOPFIELD源代码.
标签： S. networks HOPFIELD Abhijit
上传时间： 2014-01-15
上传用户：jcljkh
EM for neural networks
上传时间： 2016-03-03
上传用户：banyou
Detailed OFDM Modeling in Network Simulation of Mobile Ad Hoc networks*
标签： Simulation Detailed Modeling networks
上传时间： 2013-12-02
上传用户：253189838
学习mp3格式的好源码A DSP-based decompressor unit for high-fidelity MPEG-Audio over TCP/IP networks
标签： high-fidelity decompressor MPEG-Audio DSP-based
上传时间： 2016-04-03
上传用户：gaome
Fuzzy logic based handoff in wireless networks.rar
标签： wireless networks handoff Fuzzy
上传时间： 2014-01-16
上传用户：liansi
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
2005 Wiley)Topology Control in Wireless Ad-Hoc and Sensor networks.pdf
标签： Topology networks Wireless Control
上传时间： 2016-04-27
上传用户：ghostparker
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
