Prediction of Daily Traffic Accident Counts and Related Economic Damage in the Czech Republic
dc.contributor.author | Nejedlová Dana | cs |
dc.date.accessioned | 2018-09-25T11:45:49Z | |
dc.date.available | 2018-09-25T11:45:49Z | |
dc.date.issued | 2016 | cs |
dc.format.extent | 6 | cs |
dc.identifier.isbn | 978-80-7494-296-9 | cs |
dc.identifier.uri | https://dspace.tul.cz/handle/15240/26989 | |
dc.language.iso | eng | cs |
dc.publisher | Technical University of Liberec | cs |
dc.publisher.city | Liberec | cs |
dc.relation.ispartofseries | 1 | cs |
dc.subject | Pearson&rsquo | cs |
dc.subject | s chi-squared test | cs |
dc.subject | feed-forward neural network | cs |
dc.subject | traffic accidents. | cs |
dc.title | Prediction of Daily Traffic Accident Counts and Related Economic Damage in the Czech Republic | en |
dc.title | Prediction of Daily Traffic Accident Counts and Related Economic Damage in the Czech Republic | cs |
local.citation.epage | 606-611 | cs |
local.citation.spage | 606-611 | cs |
local.identifier.publikace | 281 | |
local.identifier.wok | 000385239500104 | en |