http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107316501-B
Outgoing Links
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classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G08G3-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-04 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G08G3-00 |
filingDate | 2017-06-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2020-04-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2020-04-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-107316501-B |
titleOfInvention | A Grid Search Based Travel Time Prediction Method for Support Vector Machines |
abstract | The invention discloses a support vector machine travel time prediction method based on grid search, which belongs to the field of intelligent transportation and includes: 1. Based on data of a ship automatic identification system, according to the investigation of missing data, the division of upstream and downstream ships, and redundant data 2. Build a prediction model of inland waterway ship travel time based on historical periods, and obtain a training data set based on the model; 3. Find the optimal prediction model based on the support vector machine grid search method parameters; 4. Based on the optimal parameters, realize the prediction of the travel time of inland ships; 5. Evaluation of the prediction results. The invention can be used to mine and analyze the data of the ship automatic identification system by using the data mining theory method, so as to realize the prediction of the travel time of the inland river ships. |
priorityDate | 2017-06-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 |
Total number of triples: 18.