Кросплатформенная С++ библиотека для обучения многослойного перцептрона
DOI :
https://doi.org/10.15587/2313-8416.2016.69588Mots-clés :
искусственные нейронные сети, обучение, классификация, обратное распространение ошибки, многослойный перцептронRésumé
Разработана кроссплатформенная C++ библиотека, предоставляющая классы для создания многослойного перцептрона и его обучения с учителем методом обратного распространения ошибки, способного классифицировать входящие образцы после предварительного обучения. Протестированы результаты обучения многослойного перцептрона и его способность к классификации на пробной выборке данных
Références
Duda, R. O., Hart, P. E., Stork, D. G. (2000). Pattern Classification. New York: Wiley, 272–286.
Haykin, S. O. (2009). Neural Networks and Learning Machines. London; UK: Pearson, 797–798.
Karsoliya, S. (2012). Approximating Number of Hidden layer neurons in Multiple Hidden Layer BPNN Architecture. International Journal of Engineering Trends and Technology, 3 (6), 714–717.
Swain, M. (2012). An Approach for IRIS Plant Classification Using Neural Network. International Journal on Soft Computing, 3 (1), 79–89. doi: 10.5121/ijsc.2012.3107
Linear Classification with SLP. Available at: https://grey.colorado.edu/emergent/index.php/Linear_Classification_with_SLP
Shanker, M. S. (1996). Using Neural Networks To Predict the Onset of Diabetes Mellitus. Journal of Chemical Information and Computer Sciences, 36 (1), 35–41. doi: 10.1021/ci950063e
Using C4.5 to predict Diabetes in Pima Indian Women. Available at: https://datayo.wordpress.com/2015/05/13/using-c4-5/
An incomplete list of C++ compilers. Available at: http://www.stroustrup.com/compilers.html
Neuroph: Smart Java Apps with Neural Networks. Available at: https://dzone.com/articles/understanding-garbage-collection-log
The Java® Virtual Machine Specification. Available at: http://docs.oracle.com/javase/specs/jvms/se7/html/index.html
Documentation. Available at: http://www.cs.waikato.ac.nz/ml/weka/documentation.html
MATLAB Jazyk tehnicheskih vychislenij. Available at: http://www.exponenta.ru/educat/free/matlab/gs.pdf
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(c) Tous droits réservés Дмитрий Тариельевич Ибадов, Ирина Витальевна Афанасьева 2016
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