Linked Life Data

11868576

Source:http://linkedlifedata.com/resource/pubmed/id/11868576

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3-4
pubmed:dateCreated
2002-2-27
pubmed:abstractText
The Space Acceleration Measurement System (SAMS) has been developed by NASA to monitor the microgravity acceleration environment aboard the space shuttle. The amount of data collected by a SAMS unit during a shuttle mission is in the several gigabytes range. Adaptive Resonance Theory 2-A (ART2-A), an unsupervised neural network, has been used to cluster these data and to develop cause and effect relationships among disturbances and the acceleration environment. Using input patterns formed on the basis of power spectral densities (psd), data collected from two missions, STS-050 and STS-057, have been clustered.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
S
pubmed:status
MEDLINE
pubmed:issn
0938-0108
pubmed:author
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NASA
pubmed:authorsComplete
Y
pubmed:pagination
91-100
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Unsupervised classification of Space Acceleration Measurement System (SAMS) data using ART2-A.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S.