Implementation of an Approximator Based on a Multilayer Perceptron and Wavelet-Neural Network on the STM32 Microcontroller

Neural network approximators are used in digital signal processing, in particular when automating the process of their analysis. The paper is devoted to the implementation of an approximator based on a multilayer perceptron and a wavelet-neural network. Implementation is carried out on the STM32F401...

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Bibliographic Details

Published in:	IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference pp. 1372 - 1377
Main Authors:	Bogoslovskii, Ivan A., Stepanov, Andrey B., Ermolenko, Daniil V., Pomogalova, Albina V.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.01.2020
Subjects:	approximator Conferences Digital signal processing implementation microcontroller Microcontrollers multilayer perceptron Multilayer perceptrons Neurons STM32 Training Wavelet analysis wavelet neural network
ISSN:	2376-6565
Online Access:	Get full text
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