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
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(c) Tous droits réservés Дмитрий Тариельевич Ибадов, Ирина Витальевна Афанасьева 2016
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