http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111882230-A
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-26 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-06393 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-26 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
filingDate | 2020-07-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7efc6874782e5d47827700fbc17dcd93 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e1dbc9d2b0aa0f6344582d16bcaece4f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_618ae4974975ba6540a1128c93a4e454 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5063d8e3bcca488f8c00e45bebb59b24 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3009ee4f7dfe23d62e9116aa87c8017e |
publicationDate | 2020-11-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-111882230-A |
titleOfInvention | An online monitoring method of dioxin emissions based on neural network |
abstract | An online monitoring method for dioxin emissions based on neural network belongs to the technical field of environmental protection, and includes a neural network model and a thermal desorption gas chromatography coupled with a tunable laser time-of-flight mass spectrometry, the thermal desorption gas chromatography coupled with a tunable laser time-of-flight mass spectrometry Mass spectrometry detects the concentration of dioxin indicator online, the neural network model receives the concentration of dioxin indicator, and outputs the predicted value of dioxin concentration or dioxin toxic equivalent; the present invention adopts the neural network model and thermal desorption gas chromatography The combination of coupled tunable laser time-of-flight mass spectrometry online detection can realize real-time monitoring, effectively reduce costs, ensure data timeliness, and at the same time, improve the generalization ability and accuracy of the original correlation model while ensuring the training speed. |
isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115825310-A |
priorityDate | 2020-07-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 33.