APPLICATION OF NEURONETWORK TECHNOLOGIES IN IP-TELEPHONY
Анотація
ПРИМЕНЕНИЕ НЕЙРОСЕТЕВЫХ ТЕХНОЛОГИЙ В IP-ТЕЛЕФОНИИ
Рассмотрена возможность применения нейросетевых технологий в IP-телефонии. Основные этапы инженерной техники построения нейросетевых моделей выбираются на основе адаптивной нейронной сети.
The opportunity of application of neuronetwork technologies in IP-telephony has been considered. The basic stages of the engineering technique of neuronetwork models construction are selected on the basis of an adaptive neural network.
Посилання
. Ossovski S. Neural networks for processing the information. // M.: «The Finance and statistics», 2004. – 244 p. (in Russian).
Barski A.B. Nejronnye of a network: recognition, management, decision-making. // Applied information technologies. M.: «The Finance and statistics», 2004. – 168 p. (in Russian).
Tsaregodstev V.G. General inefficiency of use of a total gradient of sample at training a neural network // XII the All-Russia seminar «Neural informaticsand its applications». Krasnoyarsk, 2004. pp. 145-151. (in Rissian).
Kalan R. Basic concept of neural networks. // M.: Williams, 2001. – 288 p.
Khaikin S. Neural networks: a full rate.2 edition. // M.: «I.D.Williams», 2006. – 1104 p.
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