TNNlib 1.0
Introduction
Toroidal neural networks are a particular kind of
DT-CNN (discrete time cellular neural networks)
often used for images manipulation.
They have got an underlying toroidal topology and
this reflects in the use of circulating matrices
to describe their cofigurations.
The TNNlib provides a set of instruments ideated to simplify
the software implementation of these structures.
This C++ library features a completely general, template based,
matrix class (matrix.h), and some specific TNN routines (tnn.h).
It has been widely tested either on linux (red hat 7.2) and
windows 98 (djgpp).
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Matrix library
This library has been specifically written for being included
in tnn.h and contains the matrix class definition.
With its aid, matrix objects, with any data type as elements,
can be quickly created and manipulated.
Besides this, most operators have been overloaded, so
algebric handling of block matrices is also possible.
Due to the the specific needs for which it was created
the library features some routines explicitly dedicated
to linear systems solving and to circulating matrices handling.
The algorithms implemented are efficient.
Please see the source for details about the
specific class functions.
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Tnn library
It implements all the necessary functions to simulate
a toroidal neural network's dynamic, to elaborate a
cloning template and to post-process the output.
Many other useful functions have been also included, which
allow the user to translate matrices into states and viceversa,
to convert datasets in RAW format and to calculate using block matrices.
Please consider that the terminology used in functions
syntax refers to the articles: "The Toroidal Neural Networks"
and "Massively Parallel Processing Implementation of the Toroidal
Neural Networks" written by Palazzari, Coli, Rughi.
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Tnnlib examples
Also present in the package are some demo routines
which can be used to extract the profile from an image.
To accomplish this task the routines include cloning
templates extraction (starting from 2 or more base images),
application of these templates to the desired image,
and output (the profile) generation.
Some test images have been included to explore at once the
library possibilities.
For more informations about examples uses, please see the
example.txt file.
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| The source image |
The output |
Downloads
Filename: tnnlib10.zip
Description: TNNlib release 1.0 zipped library
Filename: camread_new_iscas2000.doc
Filename: CNNA_camread.doc
Description: Toroidal Neural Networks guides written by Coli, Palazzari, Rughi.
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License
TNNlib 1.0
Written by Maurizio Galeone
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License
for more details.
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