Skip navigation
Please use this identifier to cite or link to this item:
Title: Artificial neural networks
Authors: Dovguchits, S. M.
Keywords: материалы конференций
artificial neural networks
Issue Date: May-2013
Publisher: БГУИР
Citation: Dovguchits, S. M. Artificial neural networks / S. M. Dovguchits // Моделирование, компьютерное проектирование и технология производства электронных средств : сб. материалов 49-ой науч. конф. аспирантов, магистрантов и студентов учреждения образования «Белорусский государственный университет информатики и радиоэлектроники» (Минск, 6 - 10 мая 2013 года). - Минск : БГУИР, 2013. – С. 206 - 207.
Abstract: A traditional digital computer does many tasks very well. It's quite fast, and it does exactly what you tell it to do. Unfortunately, it can't help you when you yourself don't fully understand the problem you want to be solved. Even worse, standard algorithms don't deal well with noisy or incomplete data, yet in the real world, that's frequently the only kind available. One answer is to use an artificial neural network (ANN), a computing system that can learn on its own.
Appears in Collections:Моделирование, компьютерное проектирование и технология производства электронных систем: материалы 49-й научной конференции

Files in This Item:
File Description SizeFormat 
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.