http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115204270-A

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http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
filingDate 2022-06-23-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a034fc9b29b628221753c5c1497380c0
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2f6bbbf4df16964180260b3274bf2963
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publicationDate 2022-10-18-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-115204270-A
titleOfInvention Method and system for multi-dimensional feature optimization of transmission based on recursive feature elimination
abstract The invention provides a method and system for optimizing multi-dimensional features of a transmission based on recursive feature elimination, comprising the following steps: a sample data acquisition step: acquiring sample data of the transmission; a feature library construction step: extracting the characteristics of the transmission according to the sample data to construct Holographic feature library; feature optimization step: use recursive feature elimination algorithm to perform multi-dimensional feature optimization on the holographic feature library. The present invention proposes a method for optimizing the degradation features of a complex transmission, especially a method for optimizing features based on recursive elimination of features. A holographic feature library based on time domain and frequency domain is constructed. By using the recursive feature elimination method, the influence of human factors on feature optimization and screening can be avoided, and it has certain robustness and de-correlation.
priorityDate 2022-06-23-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID783
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID425193155

Total number of triples: 22.