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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:issue |
1-2
|
| pubmed:dateCreated |
1995-6-8
|
| pubmed:abstractText |
A system for artificial olfaction is introduced, which is composed of a sensor array for gas sensing and a self-organising artificial neural network. A detailed reformulation of the most effective Self-Organising sensory Map (SOM)-based algorithms for odour classification and other applications is provided. An opto-electronic micromachined implementation of the neural network is introduced, which employs a novel hybrid mechanism for activating neural groups, avoiding fabricated cloning templates hardware.
|
| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:status |
MEDLINE
|
| pubmed:issn |
0956-5663
|
| pubmed:author | |
| pubmed:issnType |
Print
|
| pubmed:volume |
10
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
203-18
|
| pubmed:dateRevised |
2009-7-14
|
| pubmed:meshHeading | |
| pubmed:year |
1995
|
| pubmed:articleTitle |
Self-organising sensory maps in odour classification mimicking.
|
| pubmed:affiliation |
Dipartimento di Ingegneria Elettrica, Università di L'Aquila, Italy.
|
| pubmed:publicationType |
Journal Article,
Review
|