http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106568907-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-12 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-12 |
| filingDate | 2016-11-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2019-06-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2019-06-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-106568907-B |
| titleOfInvention | A kind of steamed crab freshness lossless detection method based on semi-supervised identification projection |
| abstract | The invention discloses a kind of based on the semi-supervised steamed crab freshness lossless detection method for identifying projection, including sample preprocessing and electronics nasal devices preheating step；The sampling syringe needle of electronic nose is goed deep into beaker to carry out sampling step to sample；It collects the odor data acquired by the sensor array of electronic nose and carries out pre-treatment step and pretreated sensor raw data is subjected to feature identification step.The low-dimensional feature vector that the present invention extracts semi-supervised identification projection algorithm is as the input mode vector of self-organizing feature map neural network, realize the prediction model of steamed crab grade of freshness, sample can be carried out non-destructive testing and detection accuracy greatly improves, can be realized quick, non-destructive testing steamed crab Quality Detection. |
| priorityDate | 2016-11-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 16.