NDLI: Advantages and problems of soft computing

Content Provider	IEEE Xplore Digital Library
Author	Wilamowski, B.M.
Copyright Year	2011
Description	Author affiliation: Auburn University (Wilamowski, B.M.)
Abstract	Soft computing can be a very attractive alternative to a purely digital system, but there are many traps waiting for researchers trying to apply this new exciting technology. For nonlinear processing both neural networks and fuzzy systems can be used. Terrifically neural networks should provide much better solutions: smoother surfaces, larger number of inputs and outputs, better generalization abilities, faster processing time, etc. In industrial practice, however, many people are frustrated with neural networks not being aware that the reason for their frustrations are wrong learning algorithms and wrong neural network architectures. Having difficulties with neural network training, many industrial practitioner are enlarging neural networks and indeed such networks converges to solutions much faster. But at the same time such excessively large network are not able to respond correctly to new patterns which were not used for training. This paper describes how to use effective neural networks and how to avoid all reasons for frustration.
Starting Page	5
Ending Page	11
File Size	1483188
Page Count	7
File Format	PDF
ISBN	9781457704352
e-ISBN	9781457704345
e-ISBN	9781457704338
DOI	10.1109/INDIN.2011.6034827
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Algorithm design and analysis Neurons Computer architecture FCC Biological neural networks Fuzzy systems
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
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