Optimization of multilayer perspetronu systems of information protection
DOI:
https://doi.org/10.18372/2410-7840.14.3357Keywords:
protection to information, dual-layer perceptron, neural networkAbstract
The Article is dedicated to development of the methods to optimization of the structure laminated perceptron intended for use in computer system of protection to information for the reason monitoring and management their parameter. Proved practicability of the use two-layer perceptron. Accounting expressions is Received for determination amount neuron in hidden layer.References
Бодянский Е.В. Исскуственные нейронные сети: архитектура, обучение, применение / Е.В.
Бодянский, О.Г. Руденко. – Х. : ТЕЛЕТЕХ, 2004. – 369 с.
Каллан Р. Основные концепции нейронных сетей / Каллан Р. ; пер. с англ. А. Г. Сивака. М. : Вильямс, 2003. 288 с.
Терейковський І. Нейронні мережі в засобах захисту комп’ютерної інформації / І. Терейковський. К. : ПоліграфКонсалтинг. 2007. – 209 с.
Хайкин С. Нейронные сети: полный курс, 2-е изд., испр. / Хайкин С. ; пер. с англ. Н. Н. Куссуль М. : Вильямс, 2006. 1104 с.
Хорошко В. О. Основи інформаційної безпеки / В. О. Хорошко, В. С. Чередниченко. К. : ДУІКТ, 2008. 186 с.
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2012-09-22
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