Structures Synthesis of the Functional Converters based on Multilevel Neural Network Description

被引：0

作者：

Antonenko, Andrey V. ^{[1
]}

Chelebaeva, Yulia A. ^{[2
]}

机构：

[1] Ryazan State Radio Engn Univ, Automated Control Syst Chair, Ryazan, Russia

[2] Ryazan State Radio Engn Univ, Micro & Nanoelect Chair, Ryazan, Russia

来源：

2016 5TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO) | 2016年

关键词：

neural network; converter; frequency; time interval; digital code; two-layer network;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The article considers structures synthesis of the functional converters of the form of information. Synthesis is made with use of the multi-level neural network description. The task and synthesis criteria of neural network converters of the form of information are formulated. The example of the nonlinear converter of time slot in a digital code is given.

引用

页码：313 / 316

页数：4