Downloads: Backpropagation Artificial Neural Network in C++

ann_demo.zip

bin

ann1Dn.exe

dat

red.dat

red.hea

iris.nn

setosa_versi.dat

virgi.dat

void

ann_src.zip

src

ann1Dn.cpp

ann1Dn.vcproj

Lib

signal.cpp

signal.h

LibNN

network.cpp

network.h

neuron.cpp

neuron.h

ReadMe.txt

stdafx.cpp

stdafx.h

trace.cpp

trace.h

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License

This article, along with any associated source code and files, is licensed under The GNU General Public License (GPLv3)

About the Author

Chesnokov Yuriy

Engineer

Russian Federation

Member

Former Cambridge University postdoc (http://www-ucc-old.ch.cam.ac.uk/research/yc274-research.html), Department of Chemistry, Unilever Centre for Molecular Informatics, where I worked on the problem of complexity analysis of cardiac data.

As a subsidiary result we achieved 1st place in the annual PhysioNet/Computers in Cardiology Challenge 2006: QT Interval Measurement (http://physionet.org/challenge/2006/)

My research intrests are: digital signal processing in medicine, image and video processing, pattern recognition, AI, computer vision.

My recent publications are:

Complexity and spectral analysis of the heart rate variability dynamics for distant prediction of paroxysmal atrial fibrillation with artificial intelligence methods. Artificial Intelligence in Medicine. 2008. V43/2. PP. 151-165 (http://dx.doi.org/10.1016/j.artmed.2008.03.009)

Face Detection C++ Library with Skin and Motion Analysis. Biometrics AIA 2007 TTS. 22 November 2007, Moscow, Russia. (http://www.dancom.ru/rus/AIA/2007TTS/ProgramAIA2007TTS.html)

Screening Patients with Paroxysmal Atrial Fibrillation (PAF) from Non-PAF Heart Rhythm Using HRV Data Analysis. Computers in Cardiology 2007. V. 34. PP. 459–463 (http://www.cinc.org/archives/2007/pdf/0459.pdf)

Distant Prediction of Paroxysmal Atrial Fibrillation Using HRV Data Analysis. Computers in Cardiology 2007. V. 34. PP. 455-459 (http://www.cinc.org/archives/2007/pdf/0455.pdf)

Individually Adaptable Automatic QT Detector. Computers in Cardiology 2006. V. 33. PP. 337-341 http://www.cinc.org/archives/2006/pdf/0337.pdf)

This article demonstrates a backpropagation artificial neural network console application with validation and test sets for performance estimation using uneven distribution metrics.

Type	Article
Licence	GPL3
First Posted	4 Nov 2007
Views	80,815
Downloads	4,350
Bookmarked	92 times

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