NDLI: Challenges in applications of computational intelligence in industrial electronics

Content Provider	IEEE Xplore Digital Library
Author	Wilamowski, B.M.
Copyright Year	2010
Description	Author affiliation: Auburn University, USA (Wilamowski, B.M.)
Abstract	The presentation is focused on comparison of neural networks and fuzzy systems. Advantages and disadvantages of both technologies are discussed. Fuzzy systems are relatively easy to design but number of inputs in the system are significantly limited. It is very difficult to design neural networks so rather they have to be trained instead. Neural networks produce much smoother nonlinear mapping than fuzzy systems. When neural networks are selected then researchers are facing two dilemmas: what should be neural network architectures and how to train them. The presentation gives answers for both problems. It was found that Bridged Multilayer Preceptron BMLP are a much better architecture than popular MLP architecture. It is faster to train and more complex problems can be solved with fewer neurons. Training of neural networks is not easy. For example most of the existing software cannot train close to optimal neural network so networks with excessive number of neurons are being used by most researchers. Such networks indeed can be trained to very small errors using training patterns but they are not able to respond correctly for new patterns not used in training. A new NBN learning algorithm is presented in this work. This algorithm is not only up to 1000 times faster than the popular EBP algorithm, but it can train all neural network architectures. More importantly it can train close to optimum neural networks which were not able to be trained before.
Starting Page	15
Ending Page	22
File Size	2922132
Page Count	8
File Format	PDF
ISBN	9781424463909
e-ISBN	9781424463923
DOI	10.1109/ISIE.2010.5637934
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Neurons Topology Variable speed drives Training FCC
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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