http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107103441-A

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filingDate 2017-04-21^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fa520f6fa62db193ffff1a5ace57f116
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publicationDate 2017-08-29^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-107103441-A
titleOfInvention Classification method of electric power materials based on self-organizing feature map network
abstract The invention discloses a method for classifying electric power materials based on a self-organizing feature mapping network, comprising the following steps: collecting material data: selecting material data and constructing the selected material data into an electric power material index system; According to the nonlinear principal component analysis method, the main component analysis indicators of power materials are selected from the data; material classification: the self-organizing feature map network (SOFM) algorithm is used to subdivide the selected power material principal component analysis indicators, and according to the subdivision The indicators are clustered to establish the classification of power supplies.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110053052-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110196911-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108154190-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115409255-A
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http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110196911-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110053052-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112270977-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110516988-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108985563-A
priorityDate 2017-04-21^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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