A multi-layer perceptron neural network for varied conditional attributes in tabular dispersed data
A multi-layer perceptron neural network for varied conditional attributes in tabular dispersed data
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
The paper introduces a novel approach for constructing a global model utilizing multilayer perceptron (MLP) neural networks and dispersed data sources. These dispersed data are independently gathered in various local tables, each potentially containing different objects and attributes, albeit with some shared elements (objects and attributes). Our...
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Full title
A multi-layer perceptron neural network for varied conditional attributes in tabular dispersed data
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Author / Creator
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TN_cdi_plos_journals_3135057069
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3135057069
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0311041
