http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110516859-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f55063af891dee9ed4f7b817375c2cff
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-04
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
filingDate 2019-08-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fd586d0d0047895d55f88d6d8e6036c5
publicationDate 2019-11-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-110516859-A
titleOfInvention A Power Generation Prediction Method Based on Intelligent Droplet Optimization Support Vector Machine
abstract The present invention relates to the technical field of flyback photovoltaic micro-inverter power generation prediction, in particular to a method for power generation prediction based on intelligent water drop optimization support vector machine, which includes the following steps: step A, collect all samples; step B, determine optimization The range of parameters; Step C, determine static parameters; Step D, determine dynamic parameters; Step E, update; Step F, judge whether the error is less than the target error; Step G, output the optimal solution for this iteration; Step H, find The optimal parameter of the target parameter; Step I, perform SVM modeling for prediction; Step J, obtain the prediction result. The invention uses the intelligent water drop algorithm to optimize the penalty parameter and the kernel parameter of the support vector machine, and finds the optimal solution of the parameters, so that the obtained prediction model has higher precision and better accuracy.
priorityDate 2019-08-14-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635

Total number of triples: 17.