http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-104123424-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F19-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-50 |
| filingDate | 2014-08-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2017-09-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2017-09-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-104123424-B |
| titleOfInvention | Method based on robust regression modeling and forecasting baking sheet smoke crotonaldehyde |
| abstract | The present invention provides a kind of method based on robust regression modeling and forecasting baking sheet smoke crotonaldehyde, the model from physical and chemical index to flue gas crotonaldehyde is set up by existing roasting foliated data and flue gas crotonaldehyde data, for unknown baking sheet smoke crotonaldehyde sample, it is possible to use its physical and chemical composition data directly predicts baking sheet smoke crotons aldehyde value.Present invention eliminates being rolled by traditional chemical mode, burn, catch the steps such as flue gas, detection；Meanwhile, using robust regression model, it can be effectively prevented from because the drawbacks of singular value sample causes in physicochemical data or flue gas data, largely ensureing the robustness of model, this point exactly advantage of the robust regression modeling better than normal linear regression modeling.It was verified that the model can effectively predict the flue gas crotons aldehyde value of roasting piece, detection efficiency is greatly enhanced, testing cost is reduced. |
| priorityDate | 2014-08-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 27.