http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112507611-A

Outgoing Links

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_cc4e13141d402ceb885f368dfa042348
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-27
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-25
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-18
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-18
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F30-27
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-20
filingDate 2020-11-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8d0d3c614f97cbf9842728d28e5d8993
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_59112110cdf27692911ec35c1d2e7146
publicationDate 2021-03-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-112507611-A
titleOfInvention A real-time estimation method of reactor state transition probability based on ensemble learning
abstract The invention provides a real-time estimation method of reactor state transition probability based on integrated learning, which includes evaluating the uncertainty of real-time measurement signal Establish a state transition model F ensemble of the reactor based on ensemble learning; establish an observation model of the measurement signal; based on the uncertainty The state transition model F ensemble and the observation model perform real-time prediction of the reactor state and obtain the uncertainty of the reactivity prediction state. By replacing the model based on the mathematical model with the model based on the learning, the invention can realize the rapid prediction of the reactor state, meet the requirements of real-time, and can effectively improve the efficiency of the state prediction of the reactor; Precise estimates of the current and future state of the system and quantified uncertainty.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113409975-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113409975-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114547988-A
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priorityDate 2020-11-24-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

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Total number of triples: 24.