A self-monitoring online sequential learning mechanism for feedfoward neural networks

Skanda S. Bharadwaj, R. Chandan Kumar, B. N. Sumukha, Koshy George

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The objective of online sequential learning is to make decisions on-the-fly. In this paper, we make a case for online sequential learning in the context of human activity recognition. Moreover, a mechanism to monitor learning online is introduced so as to avoid over-training and to reduce computational complexity. We consider a feed forward neural network with a single hidden layer for faster learning.

Original languageEnglish
Title of host publicationProceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016
EditorsV N Manjunatha Aradhya, S K Niranjan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages23-28
Number of pages6
ISBN (Electronic)9781509052554
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event2nd International Conference on Contemporary Computing and Informatics, IC3I 2016 - Noida, India
Duration: 14 Dec 201617 Dec 2016

Publication series

NameProceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016

Conference

Conference2nd International Conference on Contemporary Computing and Informatics, IC3I 2016
Country/TerritoryIndia
CityNoida
Period14/12/1617/12/16

Keywords

  • Feedforward neural networks
  • human activity recognition
  • online sequential learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems and Management
  • Health Informatics
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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