http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2005105463-A1

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-12
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-049
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/H04L12-56
filingDate 2003-01-31-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9a46ac1a364173c05d78896da0f3f64d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fdeefd50559e1f64cfd50d61f3d00dbb
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_39d848c6f401f1af688e2dc4a6c387c3
publicationDate 2005-05-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber US-2005105463-A1
titleOfInvention Method for classifying the traffic dynamism of a network communication using a network that contains pulsed neurons, neuronal network and system for carrying out said method
abstract A method classifies the traffic dynamism of a network communication using a network that contains pulsed neurons. Traffic data of the network communication are used as the input variables of the neuronal network. Temporal clusters obtained by processing the pulses are used as the output variables of the neuronal network. The traffic dynamism is classified by a synaptic model whose dynamism depends directly on the exact clocking of pre- or post-synaptic pulses.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2018101660-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/RU-2598298-C2
priorityDate 2002-02-05-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

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isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419559505
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID5460341

Total number of triples: 19.