10065836

Source:http://linkedlifedata.com/resource/pubmed/id/10065836

Download in:

Switch to

Custom View

Named Graph Language Inference

Statements in which the resource exists as a subject.
Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0243071, umls-concept:C0599851
pubmed:issue	5-6
pubmed:dateCreated	1999-5-7
pubmed:abstractText	In recent years, the efforts of analogue, neural-hardware designers have shifted from generic analogue neurocomputers to "niche" markets in sensor fusion and robotics, and we explain why this is so. We describe the main differences between digital and analogue computation, and consider the advantages of pure analogue and pulsed methods of design. We then investigate some important issues in analogue design of neural machines, namely weight storage (volatile and non-volatile), on-chip learning, and arithmetic accuracy and its relationship to noise. Finally, we outline those areas in which analogue techniques are likely to prove most useful, and speculate as to their likely long-term utility.
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/9100527
pubmed:citationSubset	IM
pubmed:status	MEDLINE
pubmed:issn	0129-0657
pubmed:author	pubmed-author:MurrayA FAF, pubmed-author:WoodburnRR
pubmed:issnType	Print
pubmed:volume	8
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	559-79
pubmed:dateRevised	2005-11-16
pubmed:meshHeading	pubmed-meshheading:10065836-Computers, Analog, pubmed-meshheading:10065836-Neural Networks (Computer)
pubmed:articleTitle	The prospects for analogue neural VLSI.
pubmed:affiliation	Department of Electrical Engineering, University of Edinburgh, Scotland, UK.m afm,rjw@ee.ed.ac.uk
pubmed:publicationType	Journal Article, Review