| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_33a62710796e131599043055d399597f |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-006
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16C20-70 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16C20-10
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16C20-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16C20-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-006
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-048
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16C20-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16C20-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16C20-10 |
| filingDate |
2020-12-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_948f7e6773e08aa92bdfd95a8a0f2742
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_957d89c9d55a7f0146aff85c1ab31869
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c7aa5b56e53b244ad69b4a3bbca259fa
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a7ecdcf0aa056b4ffbb109e79369786e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4c925e8736f21358dd59384f5cc4bc0c |
| publicationDate |
2022-09-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2022301661-A1 |
| titleOfInvention |
Method and system for predicting product of aromatic hydrocarbon isomerization production process |
| abstract |
A method and system for predicting products of an aromatic hydrocarbon isomerization production process are provided. The method includes generating multiple initial sample points, using a mechanism the actual output response values of all of the initial sample points; establishing an radial basis function (RBF) model according to the initial sample points and actual output response values thereof; using a particle swarm optimization (PSO) algorithm to find expected deviation between nearest neighbors as well as the sampling point having the largest sparsity product, using mechanism model to calculate the output response value of said sampling point on RBF model, adding output response value into the sample points, and reconstructing the surrogate model; repeating the previous step until the upper limit for the number of sample points is reached to obtain a final RBF model; and using the RBF model to predict product yield of aromatic hydrocarbon isomerization. |
| priorityDate |
2020-02-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |