A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf
.
Artificial Neural Network Optimization with Levenberg–Maruardt Algorithm for Dynamic Gesture Recognition
2018
International Journal of Engineering & Technology
Movement has long been a mode of expression and communication. A challenge arises when we try to bestow the ability to learn and recognize movements to machines, specifically computers, but with the development of sensor technology and the growing interest in machine learning algorithms, there is an opportunity to explore and formulate new approaches. The study focuses on the use of the Levenberg Marquardt Algorithm as an optimization algorithm for a multilayer Artificial Neural Network in
doi:10.14419/ijet.v7i3.13.16312
fatcat:kjtln62xrfg35nkjbu2iyfhiue