This package contains all the functions necessary to generate a
Neural network which you can train and use in your programs.  The
Neural network has an input layer, two hidden layers, and an ouput layer.
The network is feedforward and fully connected.  You may specify an size for
each layer at run-time.  This code is Public Domain and anyone can use it in
any type of program.

     There are two versions of the Neural network code, the C version and
the C++ version.  First the code was written in C, then it was written in C++
making it a class.  Finally it was written back in C keeping the class-like
structure.  For the C programmers who are not familiar with C++ constructs,
you should read the file C_programmers.readme

The following files are included in this package:
C++ files
Neural_network.cc --> C++ Neural_network class code
Neural_network.h  --> C++ Neural_network header file
xor_dbd.cc        --> Example of how to solve the XOR problem using the
                      delta bar delta rule.
xor_bp.cc         --> Example of how to solve the XOR problem using
                      straight back propagation.
weights.xor       --> Initialized weights that are read in by the XOR programs
                      because the gcc,gpp rand () function generates a new
                      sequence of random numbers everytime the program is
                      run.  This file makes sure every XOR training session
                      starts at the exact same place so you can see how
                      changing learning parameters affects the rate of
                      convergence.

C files
Neural_net.c --> C Neural network 'class' code
Neural_net.h --> C header file for 'class' and functions
xor_c_dbd.c  --> Example of how to solve the XOR problem using
                 the delta bar delta rule.
xor_c_bp.c   --> Example of how to solve the XOR problem using
                 straight back propagation.
weights.xor  --> Same file as above for the same reason.


Document files
Readme.1st           --> This file
Neural_network.doc   --> Explanation of each Neural network function.
C_programmers.readme --> Basic explanation of how C++ works so C
                         programmers can understand Neural_network.doc

I will most likely not be supporting the C code after this version because
I much prefer to program in C++.  However, if there are bugs in either
version, please let me know and I will fix it as soon as I can.  You can
email me at

anstey@sun.soe.clarkson.edu

 PERMSSN    UID  GID    PACKED    SIZE  RATIO     CRC       STAMP          NAME
---------- ----------- ------- ------- ------ ---------- ------------ -------------
[generic]                 4721   30622  15.4% -lh5- ebc6 Mar  7  1992 neural_net.c
[generic]                 4884   21275  23.0% -lh5- d5ff Mar  7  1992 neural_net.h
[generic]                 4091   24473  16.7% -lh5- d0d3 Feb 29  1992 neural_network.cc
[generic]                 5038   16731  30.1% -lh5- 7cfd Mar  7  1992 Neural_network.doc
[generic]                 4119   15537  26.5% -lh5- 16de Mar  1  1992 neural_network.h
[generic]                  484    1377  35.1% -lh5- 5b3e Mar  4  1992 xor_bp.cc
[generic]                  501    1404  35.7% -lh5- 6e82 Mar  4  1992 xor_dbd.cc
[generic]                  526    1500  35.1% -lh5- d485 Mar  7  1992 xor_c_bp.c
[generic]                  536    1519  35.3% -lh5- 11a1 Mar  7  1992 xor_c_dbd.c
[generic]                  138     330  41.8% -lh5- 051e Mar  4  1992 weights.xor
[generic]                  886    2267  39.1% -lh5- 6a4f Mar  7  1992 C_programmers.readme
[generic]                 1013    2521  40.2% -lh5- 2d82 Mar  7  1992 Readme.1st
---------- ----------- ------- ------- ------ ---------- ------------ -------------
 Total        12 files   26937  119556  22.5%            Aug 15  1992