Determination of the optimal number of eigenfunctions in proper orthogonal decomposition based on machine learning Conference Paper uri icon


  • 2017 AIChE. All rights reserved. Spatiotemporal data, whether captured through remote sensors or large-scale simulations has always been 'Big'. However, recent advances in next generation smart manufacturing have dramatically intensified data generation through networked information-based technologies throughout the chemical industry and other manufacturing enterprises, making spatiotemporal data even bigger. Therefore, we need an algorithm that is able to extract the underlying process dynamics from large datasheets to make decisions for safe and efficient operations.

published proceedings

  • Computing and Systems Technology Division 2017 - Core Programming Area at the 2017 AIChE Annual Meeting

author list (cited authors)

  • Sidhu, H. S., Narasingam, A., Siddhamshetty, P., & Kwon, J.

complete list of authors

  • Sidhu, HS||Narasingam, A||Siddhamshetty, P||Kwon, JSI

publication date

  • January 2017