NDLI: Neural networks-extraordinary variation

Please wait, while we are loading the content...

Neural networks-extraordinary variation

Content Provider	IEEE Xplore Digital Library
Author	Graf, H.P. Reyneri, L.M. Burns, D.C. Underwood, I. Murray, A.F. Vass, D.G. Skinner, S.R. Steck, J.E. Behrman, E.C. Cairns, G. Tarassenko, L. Ruping, S. Goser, K. Ruckert, U.
Copyright Year	1981
Abstract	There is an extraordinary variation in the implementations of neural networks, ranging from electronic circuits, digital or analog, to novel devices and optical implementations. To provide a wide perspective of different developments, we selected four projects to summarize. These projects were originally presented at Microneuro 1994. The first two projects are optical and optoelectronic implementations. While the majority of neural nets are built in silicon, an active research community works on optical networks. The high connectivity of neural nets makes communication among the processors one of the main difficulties in implementation. With optical beams, a large number of elements can be addressed in parallel, making optics an attractive alternative to silicon. D.C. Burns and coauthors describe a combination of optics and electronics. The authors have built an optical input plane for a neural net so that whole images with tens of thousands of pixels can be entered into a network in parallel. S.R. Skinner, J.E. Steck, and E.C. Behrman present an all optical network, where optically nonlinear materials perform not only the communication but also the calculations. Learning remains a tricky problem for a hardware implementation, in particular for analog circuits. Popular learning algorithms, such as backpropagation, require a high computational resolution. How to implement learning techniques in low-resolution electronics is the subject of intense research. G. Cairns and L. Tarassenko address this issue by comparing the required precision for different learning schemes. The final project is a digital circuit implementing a self-organizing feature map, an unsupervised learning technique. In this example, computational resolution is also a major problem. Before building a chip, researchers experimented extensively to determine the minimum resolution required for good results.<>
Sponsorship	IEEE Computer Society
Starting Page	48
Ending Page	59
Page Count	12
File Size	122510
File Format	PDF
ISSN	02721732
Volume Number	15
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Nonlinear optics Optical fiber networks Optical devices Optical computing Silicon Electronic circuits Optical beams Pixel All-optical networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Software Hardware and Architecture

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

Developing diffractive optics for optical computing

All-optical buffering using laser neural networks

Security issues in all-optical networks

Advances in silicon-on-insulator optoelectronics

Monolithic Silicon Waveguides in Standard Silicon

Silicon optics aims to combine the best of both worlds

Polarization-independent all-optical switching

Investigation of nonlinear effects in few-mode fibers

Optical interconnects to silicon

Neural networks-extraordinary variation

Similar Documents

Developing diffractive optics for optical computing

All-optical buffering using laser neural networks

Security issues in all-optical networks

Advances in silicon-on-insulator optoelectronics

Monolithic Silicon Waveguides in Standard Silicon

Silicon optics aims to combine the best of both worlds

Polarization-independent all-optical switching

Investigation of nonlinear effects in few-mode fibers

Optical interconnects to silicon

Neural networks-extraordinary variation