代码搜索：Recurrent
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www.eeworm.com/read/127235/14367031
h recurrentneuron.h
#ifndef _RECURRENTNEURON_H
#define _RECURRENTNEURON_H
#include "SimpleNeuron.h"
#include "defines.h"
#include
namespace annie
{
/** A neuron used for recurrent networks.
* The
www.eeworm.com/read/133883/14019143
txt readme.txt
The Recurrent Sliding Window Classifier (RSW) is to be used with the WEKA
machine learning package. WEKA has been developed at the Computer Science
Department, University of Waikato ,NZ.
1. An int
www.eeworm.com/read/315543/3619645
h recurrentneuron.h
#ifndef _RECURRENTNEURON_H
#define _RECURRENTNEURON_H
#include "SimpleNeuron.h"
#include "defines.h"
#include
namespace annie
{
/** A neuron used for recurrent networks.
* These neurons
www.eeworm.com/read/215139/15073044
txt release_notes.txt
Recurrent Self-Organizing Map (RSOM) Toolbox for MATLAB -- July, 2005
Amir Reza Saffari Azar Alamdari
amir@ymer.org , http://www.ymer.org/main.htm
------------------------------------------------
www.eeworm.com/read/414269/11122688
m ernn.m
% The 3-Input ERNN Model Matlab Files
% Computer Program for training and testing the Elman Recurrent Neural
% Network model when used to predict the top-oil temperature of the 8
% MVA transformer.
www.eeworm.com/read/104929/15681087
tex chap1.tex
% Chapter 1 of Concrete Mathematics
% (c) Addison-Wesley, all rights reserved.
\input gkpmac
\refin bib
\pageno=1
\beginchapter 1 Recurrent Problems
THIS CHAPTER EXPLORES three sample problems
that
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m fit_rgnn.m
function [fitness, x] = fit_rgnn(x,fcn_opts)
%[fitness, x] = fit_rgnn(x,fcn_opts)
%this calculates the fitness for a system identification problem, a
%recurrent generalized neural network. The fitnes
www.eeworm.com/read/190459/8443062
m predict.m
function prediction = predict(model,Xt,n, simfct, args)
% Iterative prediction of a trained LS-SVM NARX model (in recurrent mode)
%
% >> Yp = predict({Xw,Yw,type,gam,sig2}, Xt, nb)
% >> Yp = predict(
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m predict.m
function prediction = predict(model,Xt,n, simfct, args)
% Iterative prediction of a trained LS-SVM NARX model (in recurrent mode)
%
% >> Yp = predict({Xw,Yw,type,gam,sig2}, Xt, nb)
% >> Yp = predict(
www.eeworm.com/read/428451/8867214
m predict.m
function prediction = predict(model,Xt,n, simfct, args)
% Iterative prediction of a trained LS-SVM NARX model (in recurrent mode)
%
% >> Yp = predict({Xw,Yw,type,gam,sig2}, Xt, nb)
% >> Yp = predict(