http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113723011-A
Outgoing Links
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f29523a4b7cba5f2f15abf49a4c1c8d3 |
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classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F30-27 |
classificationIPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F113-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F119-08 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F30-27 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
filingDate | 2021-09-10^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_de361ceb5e9befa2182c7f5cc115e5c9 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4ae820f9089b30c7db4fa34713d2fea8 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_82dff6e4a12a1c0c208fc5006df7bdee http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2ea075c4f515fe1a4f776126b551bd70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ab822281ddcc934e798567337236a791 |
publicationDate | 2021-11-30^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-113723011-A |
titleOfInvention | A Fast Calculation Method for Infrared Radiation Characteristics of High Temperature Mixed Gases |
abstract | The present invention provides a method for quickly calculating infrared radiation characteristics of high-temperature mixed gas, comprising the steps of: S1, selecting input variables, input variable spaces and output variables of a radial basis neural network; S2, selecting sample points in the input variable space to construct a sample Set A; S3, build a training set M based on the sample set A; S4, train a radial basis neural network based on the training set M, and generate a fast calculation model for the absorption coefficient of the high-temperature mixed gas to be evaluated; S5, the high-temperature mixed gas to be evaluated Accuracy and efficiency test evaluation with absorption coefficient fast calculation model. Aiming at the deficiencies of the prior art, the invention introduces the radial basis neural network model into the field of high temperature mixed gas radiation characteristic calculation, thereby providing a new idea; at the same time, an improved adaptive clustering method is adopted to optimize the radial basis function width and Compared with the traditional line-by-line method, the computational complexity is reduced, the computational efficiency is higher, and it has better practicability. |
priorityDate | 2021-09-10^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 |
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