NDLI: A real-time recurrent learning network structure for dealing with missing sensor data

Content Provider	IEEE Xplore Digital Library
Author	Meert, K.
Copyright Year	1996
Description	Author affiliation: Dept. of Chem. Eng., Katholieke Univ., Leuven, Heverlee, Belgium (Meert, K.)
Abstract	A lot of effort has been put into the modeling of highly nonlinear dynamical systems. In every part of the process industry, soft sensors have became a hot item. These soft sensors (neural models) have the ability to map a variety of input-output patterns quite easily. Although they have many advantages over other, more classical modeling techniques or hard sensors, neural networks also have a number of drawbacks. They are insensitive to the availability of sensor data. The practical use of soft sensors, however, shows that this is hardly the case. Network performance reduces rapidly due to lack of sensor data. To cope with this kind of problems a network structure for real-time recurrent learning networks was developed. Two recurrent networks, a model network and an identity network, are merged into one large clustered recurrent net with combined advantages of robustness and high modeling performance. This technique has been tested on a real-life modeling problem from the chemical process industry. Compared to the original model network the clustered recurrent net enhances the robustness to handle missing data and its accuracy of prediction has been greatly improved.
Starting Page	1600
Ending Page	1605
File Size	516299
Page Count	6
File Format	PDF
ISBN	0780332105
DOI	10.1109/ICNN.1996.549139
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-06-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Real time systems Chemical sensors Sensor systems and applications Testing Robustness Chemical industry Expert systems Chemical engineering Digital TV
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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