About: Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture

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article by Vasyl V. Kovalishyn et al published July 1998 in Journal of Chemical Information and Computer Sciences

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в липні 1998 (uk) article scientifique publié en 1998 (fr) im Juli 1998 veröffentlichter wissenschaftlicher Artikel (de) article by Vasyl V. Kovalishyn et al published July 1998 in Journal of Chemical Information and Computer Sciences (en)
publication date	wds:Q56916859-0E602FE3-3DD3-4712-956F-A026179DCDAE
publication date	1998-07-01 00:00:00Z (xsd:dateTime)
author name string	wds:Q56916859-66F2B449-C76B-4DDB-8F2F-09DB85787D1B wds:Q56916859-A7253F26-F8D1-43A0-B011-18AE60B6AE63 wds:Q56916859-B6AB2CA3-2E6F-4C5C-9564-B730006E23C6 wds:Q56916859-C2E910C4-3D07-4625-963F-9232C477F422 wds:Q56916859-E40DFBB9-5845-476A-82E8-E86390A36A10
author name string	Vasyl V. Kovalishyn Alessandro E. P. Villa Alexander I. Luik David J. Livingstone Vladyslav V. Kholodovych
rdfs:label	Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture (en) Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture (nl)
skos:prefLabel	Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture (en) Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture (nl)
name	Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture (en) Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture (nl)
author	wds:Q56916859-F0280C12-D96E-4DDD-9B31-FF04B75B462E
author	Igor V. Tetko
title	wds:Q56916859-C2E348BC-FE84-40A5-9009-F06FCBE1F25C
title	Neural Network Studies. 3. Variable Selection in the Cascade-Correlation Learning Architecture (en)
page(s)	wds:Q56916859-E9FCEA8C-DBC0-4ACE-B40B-187EBB6DDF2C
page(s)	651-659
instance of	wds:Q56916859-B3525921-765F-4656-A6D1-1D494A3A56CA
instance of	scholarly article
main subject	wds:Q56916859-5c63cd5c-4555-da68-6011-a90fdc407758 wds:Q56916859-a8b54f84-49fa-7efc-08a4-37d16d22d239
main subject	model selection cascade correlation
DBLP publication ID	wds:Q56916859-CB4C1F52-610F-4998-AD90-98AAF738F91E
DBLP publication ID	https://dblp.org/rec/journals/jcisd/KovalishynTLKVL98
DBLP publication ID	journals/jcisd/KovalishynTLKVL98
published in	wds:Q56916859-118D5AB0-07F3-47FF-B1DF-A206C2D61C9F
published in	Journal of Chemical Information and Computer Sciences
issue	wds:Q56916859-CF9FB515-93B7-45B0-9FD2-D8D48B2C1E26
volume	wds:Q56916859-C07207AB-6A18-4E1A-80ED-2DDA6B5797C9
issue	4
volume	38
DOI	wds:Q56916859-3A47F650-E7A6-4F4E-AFC7-024D122E73D6
DOI	http://dx.doi.org/10.1021/CI980325N
DOI	10.1021/CI980325N
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q56916859
is cites work of	Deep Artificial Neural Networks and Neuromorphic Chips for Big Data Analysis: Pharmaceutical and Bioinformatics Applications Polynomial neural network for linear and non-linear model selection in quantitative-structure activity relationship studies on the internet Chemical composition of groundwater/drinking water and oncological disease mortality in Slovak Republic Chemical composition of groundwater and relative mortality for cardiovascular diseases in the Slovak Republic Variable selection for QSAR by artificial ant colony systems ETM-ANN approach application for thiobenzamide and quinolizidine derivatives An Appraisal Model Based on a Synthetic Feature Selection Approach for Students’ Academic Achievement Application of artificial neural network in medical geochemistry
is cites work of	wds:Q39872983-3D6EF597-DD69-4860-8D47-B13B97FC5D3F wds:Q41117695-E8FB2723-E5F1-4D6B-8662-AF81CBFEE548 wds:Q26741211-50E561B6-1CED-4682-80B1-FD8889B4B401 wds:Q34143545-5E7B629C-2070-4012-B383-2BB8F6518AC4 wds:Q30916083-41EB09CB-78A0-4E3A-8905-FAF55F610C85 wds:Q58682767-7A25FC4C-E465-4B2B-84DD-6DFFF91783FE wds:Q38869668-F1CD860B-2FE5-4095-BB23-58C4FEDEC679 wds:Q40638936-26437050-55D6-4A55-8DB7-5EDC44D7E66D

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