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# A script for RSNNS
# Author:
# Mohammad Hassan Khalid: mohammad.khalid@uj.edu.pl; hassankhalid101@gmail.com
# Co-Authors:  
# Aleksander Mendyk: mfmendyk@cyf-kr.edu.pl; aleksander.mendyk@uj.edu.pl
# Adam Pacławski: adam.paclawski@uj.edu.pl
# Jakub Szlęk: j.szlek@uj.edu.pl
# License: GPLv3
# This program comes with ABSOLUTELY NO WARRANTY! USE IT AT YOR OWN RISK!
# Acknowledgment:  This work was supported by the IPROCOM Marie Curie initial training network, funded through the People Programme (Marie Curie Actions) of the European
# Union’s Seventh Framework Programme FP7/2007-2013/ under REA grant agreement No. 316555.



This is the script prepared to run R - Stuttgart Neural Network Simulator (RSNNS) package from R environment in a manner of 10-fold cross-validation mode. RSNNS is a Neural Network-based data analysis system. For more information please refer to its original manual at the CRAN repostitory:

http://cran.r-project.org/web/packages/RSNNS/index.html

It requires data prepared in a manner of 10 pairs of training-testing datasets in tab-delimited TXT files, where the last column contains the known answer to the problem (dependent variable) and previous columns are features (regressors or independent variables). The assumption is that the model is of MISO type (multiple-input-single-output)

Script basic adjustable parameters are:

size
 number of units in the hidden layer(s)
learnFuncParams
 the parameters for the learning function
maxit
 maximum of iterations to learn
initFunc
 the initialization function to use
initFuncParams 
 the parameters for the initialization function
learnFunc
 the learning function to use
learnFuncParams
 the parameters for the learning function
shufflePatterns
 should the patterns be shuffled?




Please find an example of how to run the script in the example.tar.gz archive Runs on Linux and Mac 
Windows users must get rid of multicore library

##########################################################################
    This program comes with ABSOLUTELY NO WARRANTY
    This is free software, and you are welcome to redistribute it
    under certain conditions. Please find a LICENSE file to look 
    for a more detailed description of terms and conditions based on the 
    GNU GPLv3 license
##########################################################################
Source: README.txt, updated 2014-09-05