About: Logistic regression versus artificial neural networks: landslide susceptibility evaluation in a sample area of the Serchio River valley, Italy

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rdf:type	Item
description	article (en) հոդված (hy) wetenschappelijk artikel (nl) article scientifique publié en 2009 (fr) наукова стаття, опублікована в лютому 2009 (uk) im Februar 2009 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q57882114-C9E0D68D-31FE-434B-AC6F-E6B8BD79086D
publication date	2009-02-25 00:00:00Z (xsd:dateTime)
exact match	wds:Q57882114-0B718142-8E9C-43A9-A67D-DD1B55AC036C
exact match	https://scigraph.springernature.com/pub.10.1007/s11069-009-9356-5
cites work	wds:Q57882114-086BB5AA-1727-401D-A0F5-41E03BC319CD wds:Q57882114-292949F6-798E-4F7E-8B83-95B1F69377F3 wds:Q57882114-87C135BF-55D6-408B-A4FB-CD10F8639C5F wds:Q57882114-9DCBE155-31CC-4FFD-B0F5-3C56A727C7C5 wds:Q57882114-E1662725-85BB-4FC5-8833-12013E77B039 wds:Q57882114-ED3FAFD1-F606-44CB-BBAA-905ED075769F
cites work	Measuring the accuracy of diagnostic systems Validation and Evaluation of Predictive Models in Hazard Assessment and Risk Management Computational intelligence in earth sciences and environmental applications: issues and challenges Multidisciplinary investigations in evaluating landslide susceptibility—An example in the Serchio River valley (Italy) Artificial Neural Networks applied to landslide susceptibility assessment Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
author name string	wds:Q57882114-387D42D0-F3E0-4B82-A38D-1AF3DE4FB48E wds:Q57882114-60E12081-39AA-459C-85F1-D87B2A6869F0 wds:Q57882114-625557A8-B540-4787-80DD-773B8BFF8BC8 wds:Q57882114-749DD1B7-4EC9-4E2C-B0DE-DA3B53B1D3BA wds:Q57882114-A904F424-019F-49F8-A6D0-5228CE0D71CF wds:Q57882114-DDB59298-95E0-416A-83A5-983326529F93
author name string	F. Giacomelli A. Pochini A. Puccinelli F. Falaschi G. D’Amato Avanzi P. R. Federici
rdfs:label	Logistic regression versus artificial neural networks: landslide susceptibility evaluation in a sample area of the Serchio River valley, Italy (en) Logistic regression versus artificial neural networks: landslide susceptibility evaluation in a sample area of the Serchio River valley, Italy (nl)
skos:prefLabel	Logistic regression versus artificial neural networks: landslide susceptibility evaluation in a sample area of the Serchio River valley, Italy (en) Logistic regression versus artificial neural networks: landslide susceptibility evaluation in a sample area of the Serchio River valley, Italy (nl)
name	Logistic regression versus artificial neural networks: landslide susceptibility evaluation in a sample area of the Serchio River valley, Italy (en) Logistic regression versus artificial neural networks: landslide susceptibility evaluation in a sample area of the Serchio River valley, Italy (nl)
author	wds:Q57882114-01FF8CF6-011E-49DA-86E1-B650165020C6
author	Adriano Ribolini
title	wds:Q57882114-0860F4CB-DA57-48C7-B4D7-AEA7EDE8320E
title	Logistic regression versus artificial neural networks: landslide susceptibility evaluation in a sample area of the Serchio River valley, Italy (en)
page(s)	wds:Q57882114-CEEBB7BA-6F42-4DE9-B024-0144D939775B
page(s)	551-569
instance of	wds:Q57882114-2C55C6D7-7520-45B8-BC3B-8087A91FFBFC
instance of	scholarly article
main subject	wds:Q57882114-471D494E-E5EF-4F65-84DD-72A22A55987C wds:Q57882114-59A833B4-F5FA-4F35-8AB6-3AF9E4470ED1 wds:Q57882114-68CA31B5-C6E5-465B-A2EF-74D7B07F2878 wds:Q57882114-DBEDB755-CF69-4AB3-A3FD-CF7C609E1C7C
main subject	landslide artificial neural network logistic regression model Italy
published in	wds:Q57882114-37303C89-5F2D-4C37-A33A-9C54378DB1FF
published in	Natural Hazards
issue	wds:Q57882114-C3830B52-B0BF-4C75-9718-BABFE9B51966
volume	wds:Q57882114-26CE033E-5928-496D-BC54-CC2CA599A6F0
issue	3
volume	50
DOI	wds:Q57882114-737AEA85-A220-4A04-8B3F-DB4266F52962
DOI	http://dx.doi.org/10.1007/S11069-009-9356-5
DOI	10.1007/S11069-009-9356-5
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57882114
is cites work of	Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms Landslide Susceptibility Mapping in Vertical Distribution Law of Precipitation Area: Case of the Xulong Hydropower Station Reservoir, Southwestern China Plenary: Progress in Regional Landslide Hazard Assessment—Examples from the USA
is cites work of	wds:Q57819814-036606A6-3FA2-4CB3-A6E7-326C181533F1 wds:Q57530724-EDBC605B-0A6F-446C-B22B-1E0B828CCF73 wds:Q57598322-75A56C1E-BAFD-49F1-B9C5-70BFCF52B276

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