LFNNR

Simple item page
dc.contributor.authorZim, Md Ziaul Haque
dc.contributor.authorSarkar, Md Sazzad
dc.contributor.authorNisi, Zeba Fauzia
dc.contributor.authorDas, Nimai Chandra
dc.date.accessioned2022-04-20T05:10:01Z
dc.date.available2022-04-20T05:10:01Z
dc.date.issued2021-04-09
dc.description.abstractHumans and animals have a brain and nervous system, and they process in-formation with neural networks. Trillions of neurons (nerve cells) exchanging brief electrical pulse called action potentials form neural networks. The endeavor of this paper aims to present the development of a neural network robot that mimics these biological structures to distinguish them from the squishy things in-side of animals. This robot is divided into hardware and OS (Operating System) part. In hardware, this robot has embedded systems that include an AVR microcontroller, L293D motor driver controller, OLED display, 4 LDR/Photoresist or, and DC gear motors. The AVR microcontroller working as the brain of this robot. This robot has an OS written in C programming language. This OS has a user interface that gives 3 options to select the operation mode. To train this robot a feed-forward back propagation network is used. Some results about testing and validating the robotic system are presented and discussed.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7920
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7920
dc.language.isoen_US
dc.publisherIEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), IEEE
dc.sourceDIU Institutional Repository
dc.subjectNeural network
dc.subjectPhotoresistor
dc.subjectMicrocontroller
dc.subjectMachine learning
dc.subjectSupervised or Unsupervised learning
dc.subjectRobotics
dc.titleLFNNR
dc.title.alternativeLight Follower Neural Network Robot Conducted by Machine Learning Technique
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
LFNNR Light Follower Neural Network Robot Conducted by Machine Learning Technique.docx
Size:
13.85 KB
Format:
Adobe Portable Document Format
Download

Collections

Articles