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Machine learning facilitated business intelligence (Part II): Neural networks optimization technique...

Machine learning facilitated business intelligence (Part II): Neural networks optimization technique...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2533942321

Machine learning facilitated business intelligence (Part II): Neural networks optimization techniques and applications

About this item

Full title

Machine learning facilitated business intelligence (Part II): Neural networks optimization techniques and applications

Publisher

Wembley: Emerald Group Publishing Limited

Journal title

Industrial management + data systems, 2020-01, Vol.120 (1), p.128-163

Language

English

Formats

Publication information

Publisher

Wembley: Emerald Group Publishing Limited

More information

Scope and Contents

Contents

PurposeThe purpose of this paper is three-fold: to review the categories explaining mainly optimization algorithms (techniques) in that needed to improve the generalization performance and learning speed of the Feedforward Neural Network (FNN); to discover the change in research trends by analyzing all six categories (i.e. gradient learning algorit...

Alternative Titles

Full title

Machine learning facilitated business intelligence (Part II): Neural networks optimization techniques and applications

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2533942321

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2533942321

Other Identifiers

ISSN

0263-5577

E-ISSN

1758-5783

DOI

10.1108/IMDS-06-2019-0351

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