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bpanna

The BPANNA is a flexible Back propagation neural network in C++ with GUI.

Main GUI

NOTE: Older versions of bpanna can be found at https://sourceforge.net/projects/bpanna/

Very fast
C++
Levenberg-Marquardt
Conjugate Gradient
Step Descent
Arbritrary number of layers
Multiple outputs
Graphical user interface
Graphical error
Graphical structure editor
Spreadsheet data table

More information:

https://sites.google.com/site/eetorres/anna

Project stucture

include: head files fws: FLUID GUI development workspace prg: test source codes programs src: source files gui: FLTK GUI interface (automatically generated by FLUID) obj: temporal object files bin: executable example programs

Compilation instructions

Copy the compress file wherever you want to compile and untar it

$ tar -xvzf fl_anna.tar.gz

$ cd fl_anna

$ make

you will find a test programs in the "bin" directory just type

./bpanna

for no GUI interface or,

./fl_bpann

for a FLTK GUI application

DOCUMENTATION:

read_data_file(file); load a data file

set_output(no); Set number of outputs (no)

set_input(ni); Set number of inputs (ni)

set_layers(nl); Set number of layers (nl)

create(); create the neural network framework

set_neurons_in_layer(l,n); Set number (n) of neurons of the layer (l)

select_training_algorithm(b); true = Levenverg-Maquardt (LM), false = Conjugate gradient (CG) initialize(); initialize the neural network weights

set_alpha(alpha); this is the CG learning rate

set_mu(mu); this is the LM perturbation factor

training(); one step training

evalue(); evalue the net and give the result in a vector

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The Artificial Neural Network Architecture (ANNA) is a Back propagation neural network class easy to use with the FLTK library. So you will need to have FLTK-1.3 installed.

You can get FLTK from www.fltk.org

The ANNA class library is compose by the following files:

anna_bpn_net.h anna_bpn_layer.h anna_bpn_neuron.h anna_bpn_net.cxx anna_bpn_layer.cxx anna_bpn_neuron.cxx

The distribution include a demo which should work on Linux systems.

If you want a binary, but only if you really cannot compile it. I can help you to compile it anyway. Send me an email.

So enjoy it!

                                   Edmanuel Torres
                                   eetorres@gmail.com

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

More screenshots:

Editor

Diagram

Train

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The BPANNA is a flexible Back propagation neural network template in C++, optional GUI .

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