Method of Neural Network Adjustment of Frequency Converters into Code of Two Variables Based on Multilayer Perceptrons

被引：0

作者：

Chelebaev, Sergey, V ^{[1
]}

Melnik, Olga, V ^{[2
]}

Chelebaeva, Yulia A. ^{[2
]}

机构：

[1] Ryazan State Radio Engn Univ, RSREU, ASU Dept, Ryazan, Russia

[2] Ryazan State Radio Engn Univ, RSREU, IIBMT Dept, Ryazan, Russia

来源：

2020 9TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO) | 2020年

关键词：

artificial neural network; converter; frequency; code; function of two variables;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Neural network structures of frequency converters into digital code of two variables based on multilayer perceptrons at mathematical level of description are offered. Adjustment method of frequency converters into code of two variables is offered. A piecewise approximation of nonlinear dependence of two variables based on neural network is performed. Comparison of neural network approximation with approximation by power polynomial is performed. The issues of implementation of the proposed models on field programmable gate arrays (FPGA) are considered.

引用

页码：439 / 442

页数：4

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