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 |