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CO emission predictions in municipal solid waste incineration based on reduced depth features and lo...

CO emission predictions in municipal solid waste incineration based on reduced depth features and lo...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2937179584

CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization

About this item

Full title

CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization

Publisher

London: Springer London

Journal title

Neural computing & applications, 2024-04, Vol.36 (10), p.5473-5498

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

Carbon monoxide (CO) is a toxic gas emitted during municipal solid waste incineration (MSWI). Its emission prediction is conducive to pollutant reduction and optimized control of MSWI. The variables of MSWI exhibit redundant and interdependent correlations with CO emissions. Furthermore, the mapping relationship is difficult to characterize. Theref...

Alternative Titles

Full title

CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2937179584

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2937179584

Other Identifiers

ISSN

0941-0643

E-ISSN

1433-3058

DOI

10.1007/s00521-023-09329-8

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