http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-103488090-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05B13-04 |
| filingDate | 2013-09-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2016-05-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2016-05-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-103488090-B |
| titleOfInvention | Incinerator hazardous emission control system up to standard and the method for gunz machine learning |
| abstract | The invention discloses a kind of incinerator hazardous emission control system up to standard and method of gunz machine learning. It comprises incinerator, intelligence instrument, DCS system, data-interface and host computer; DCS system comprises control station and database; Be connected with DCS system for the intelligence instrument of measuring easy survey variable, DCS system is connected with host computer by data-interface. First host computer carries out pretreatment and obfuscation to training sample, obtain new input matrix, adopt again least square method supporting vector machine to set up model to new input matrix, obtain prediction output, then prediction output is carried out to reverse gelatinization, finally introduce penalty factor and the error margin value of particle cluster algorithm to least square method supporting vector machine and be optimized, the system output being optimized. Whether the present invention has on-line measurement COD, effectively monitor COD exceeds standard, controls the advantages such as strong, the required sample number of COD emission compliance, antinoise and generalization ability is few, computational speed is fast, on-line automatic optimization. |
| priorityDate | 2013-09-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 15.