Abstract

An artificial neural network (ANN) is a kind of human brain learning method software simulation. ANN is suitable for classification issues and has proven successful in many practical applications. Signal interference, power consumption, and signal noise are the main issues in signal processing research. This paper proposes AALR; this project attempts to develop a neural network demodulator and machine learning technology. As a result of the new concepts, the neural network demodulator processing speed has improved by 88%, increasing output accuracy by 7%.

Original languageEnglish
Title of host publication2022 International Seminar on Intelligent Technology and Its Applications
Subtitle of host publicationAdvanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages490-493
Number of pages4
ISBN (Electronic)9781665460811
DOIs
Publication statusPublished - 2022
Event23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022 - Virtual, Surabaya, Indonesia
Duration: 20 Jul 202221 Jul 2022

Publication series

Name2022 International Seminar on Intelligent Technology and Its Applications: Advanced Innovations of Electrical Systems for Humanity, ISITIA 2022 - Proceeding

Conference

Conference23rd International Seminar on Intelligent Technology and Its Applications, ISITIA 2022
Country/TerritoryIndonesia
CityVirtual, Surabaya
Period20/07/2221/07/22

Keywords

  • learning rate
  • machine learning
  • neural network demodulator
  • signal processing

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