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A recurrent Elman network in conjunction with an electronic nose for fast prediction of optimum ferm...

A recurrent Elman network in conjunction with an electronic nose for fast prediction of optimum ferm...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2207239195

A recurrent Elman network in conjunction with an electronic nose for fast prediction of optimum fermentation time of black tea

About this item

Full title

A recurrent Elman network in conjunction with an electronic nose for fast prediction of optimum fermentation time of black tea

Publisher

London: Springer London

Journal title

Neural computing & applications, 2019-02, Vol.31 (Suppl 2), p.1165-1171

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

Tea industries enjoy a significant position in the socio-economic ladder for any demographics, especially in India who is the largest producer as well as consumer of the agro-product. While tea ranks only next to water in the pedigree of globally consumed beverages, the imperative fermentation stage in the processing of tea leaves is conventionally...

Alternative Titles

Full title

A recurrent Elman network in conjunction with an electronic nose for fast prediction of optimum fermentation time of black tea

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2207239195

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2207239195

Other Identifiers

ISSN

0941-0643

E-ISSN

1433-3058

DOI

10.1007/s00521-017-3072-y

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