About: Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the middle Zagros, Iran)

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About: Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the middle Zagros, Iran) Goto Sponge NotDistinct Permalink

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scholarly article

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) scholarly article (en) наукова стаття, опублікована в жовтні 2017 (uk) im Oktober 2017 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q57727904-939319C2-72C0-4BBC-AF84-C6FF0745BD77
publication date	2017-10-23 00:00:00Z (xsd:dateTime)
exact match	wds:Q57727904-5ACB1AF3-D078-4E0E-9FDA-1E8B5FEBDFB1
exact match	https://scigraph.springernature.com/pub.10.1007/s00704-017-2300-9
cites work	wds:Q57727904-443FC9A1-B591-40D8-8FF9-2743D4BC3312 wds:Q57727904-5CA8A709-F378-46CB-88D8-4156740D1871 wds:Q57727904-7070C1B4-1522-4ADA-A155-856ED44FA1AB wds:Q57727904-A227CDEA-14D8-430D-B519-BD14BBF37093 wds:Q57727904-B0A686A5-7764-434F-BFAE-EC7AF9F7D55B wds:Q57727904-D7865865-E51E-4D2C-9356-DF3EA6608944
cites work	Random Forests Variable Importance Assessment in Regression: Linear Regression versus Random Forest Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions Comparison of ARIMA and Random Forest time series models for prediction of avian influenza H5N1 outbreaks North American and Eurasian snow cover co-variability A comparative study of support vector machines and artificial neural networks for predicting precipitation in Iran
author name string	wds:Q57727904-160771A0-4AAE-4926-BD9F-3EB91C9ED2D3 wds:Q57727904-5E7029B5-82DC-4747-8B50-13ADF61234FC wds:Q57727904-5F34D433-746C-4AD1-8C5C-08F13F494D01 wds:Q57727904-DE427EE9-6375-4F13-846A-F40C09A9D186
author name string	Leili Tapak Hamed Abbasi Omid Hamidi Zohreh Maryanaji
rdfs:label	Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the middle Zagros, Iran) (en) Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the middle Zagros, Iran) (nl)
skos:prefLabel	Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the middle Zagros, Iran) (en) Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the middle Zagros, Iran) (nl)
name	Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the middle Zagros, Iran) (en) Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the middle Zagros, Iran) (nl)
title	wds:Q57727904-323A6AD3-764A-4A80-B57A-0E1113F319D1
title	Application of random forest time series, support vector regression and multivariate adaptive regression splines models in prediction of snowfall (a case study of Alvand in the middle Zagros, Iran) (en)
instance of	wds:Q57727904-FC7CCDDA-07EC-4313-997F-BDB838C0CAD8
instance of	scholarly article
main subject	wds:Q57727904-0F817CE1-FEDC-4D5F-8462-D4BC22C11754 wds:Q57727904-23941CC9-E0C3-40A9-8376-D26A08380547 wds:Q57727904-BD35525B-BD97-45FB-9A35-3DAA122BFD80
main subject	random forest support vector machine multivariate statistics
published in	wds:Q57727904-880FF549-8707-499F-BA17-98DFB0067B48
published in	Theoretical and Applied Climatology
DOI	wds:Q57727904-B1BC89F7-B274-47E9-BE5E-BF90E1F9A37A
DOI	http://dx.doi.org/10.1007/S00704-017-2300-9
DOI	10.1007/S00704-017-2300-9
ADS bibcode	wds:Q57727904-89C91622-A99C-498E-A029-2ED6FDF26988
ADS bibcode	2018ThApC.134..769H
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57727904

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