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Calibration of discrete meta-parameters of bamboo flour based on magnitude analysis and BP neural ne...

Calibration of discrete meta-parameters of bamboo flour based on magnitude analysis and BP neural ne...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3119602753

Calibration of discrete meta-parameters of bamboo flour based on magnitude analysis and BP neural network

About this item

Full title

Calibration of discrete meta-parameters of bamboo flour based on magnitude analysis and BP neural network

Publisher

United States: Public Library of Science

Journal title

PloS one, 2024-10, Vol.19 (10), p.e0308019

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

In the research and development of technology and equipment for bamboo products deep processing, such as filling, drying, and medicinal use of bamboo flour (BF), the poor compaction and fluidity of BF materials entails the need for accurate discrete element model (DEM) and BF parameters to provide a reference for the simulation of BF processing ope...

Alternative Titles

Full title

Calibration of discrete meta-parameters of bamboo flour based on magnitude analysis and BP neural network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_3119602753

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3119602753

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0308019

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