Contains a number of m-files for training and evaluation of the random neural network in matlab

The following Matlab project contains the source code and Matlab examples used for contains a number of m-files for training and evaluation of the random neural network . The RNNSIM v.2 package contains a number of m-files for training and evaluation of the random neural network. It is a more robust version of RNNSIM ver. 1.0 package without a graphical user interface.

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
contents.m 4654
etract_name.m 1316
rnn_gen_con1.dat 913
rnn_gen_log1.m 114
rnn_gen_log1.txt 382
rnn_gen_net1.m 3023
rnn_gen_trn1.m 1080
rnn_gen_tst1.m 907
rnn_gen_wts1.mat 5944
temp_con.dat 464
use_rnn_gen1.m 6316
rnn_gen_con2.dat 899
rnn_gen_log2.m 179
rnn_gen_log2.txt 353
rnn_gen_net2.m 2903
rnn_gen_trn2.m 1014
rnn_gen_tst2.m 880
rnn_gen_wts2.mat 5824
TEMP_CON.DAT 459
use_rnn_gen2.m 6238
initialize.m 4254
initialize_weights.m 1634
load_net_file.m 2437
load_trn_file.m 1413
load_tst_file.m 1401
readme.txt 6065
read_connection_matrix.m 2436
rnnsimv2.pdf 379729
rnn_gen_test_exact.m 4927
rnn_gen_test_iterative.m 4515
test_rnn_gen.m 9465
train_rnn_gen.m 12463
vardef.m 2361

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