NDLI: A novel approach to fast learning: smart neural nets

Content Provider	IEEE Xplore Digital Library
Author	Dahanayake, B.W. Upton, A.R.M.
Copyright Year	1994
Description	Author affiliation: Div. of Neurology, McMaster Univ., Hamilton, Ont., Canada (Dahanayake, B.W.; Upton, A.R.M.)
Abstract	We propose a novel approach for fast and well behaved learning of fully connected feedforward neural nets. This is achieved not by designing fast learning algorithms, but by designing a neural net that learns by regular backpropagation, We introduce a new neuron called a labour neuron. A smart neural net is then constructed using the labour neurons together with conventional neurons. Hidden layers of the smart neural net are formed by using the labour neurons alone. The conventional neurons alone are used to construct the output layer or the decision layer of the smart neural net, We compare the learning capabilities of both the smart neural net and the conventional neural net towards the regular backpropagation learning algorithm. Unlike the conventional neural net, the smart neural net not only learns extremely fast but also believes well during the learning. In other words, smart neural nets are academically smart efficient learners.
Starting Page	572
Ending Page	577
File Size	444845
Page Count	6
File Format	PDF
ISBN	078031901X
DOI	10.1109/ICNN.1994.374228
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Neurons Biological neural networks Technological innovation Backpropagation algorithms Feeds Feedforward neural networks Algorithm design and analysis Error correction Nervous system
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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