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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Vydané v:	IEEE NW Russia Young Researchers in Electrical and Electronic Engineering Conference s. 1372 - 1377
Hlavní autori:	Bogoslovskii, Ivan A., Stepanov, Andrey B., Ermolenko, Daniil V., Pomogalova, Albina V.
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.01.2020
Predmet:	approximator Conferences Digital signal processing implementation microcontroller Microcontrollers multilayer perceptron Multilayer perceptrons Neurons STM32 Training Wavelet analysis wavelet neural network
ISSN:	2376-6565
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