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Dew Point Temperature Estimation: Application of Artificial Intelligence Model Integrated with Natur...

Dew Point Temperature Estimation: Application of Artificial Intelligence Model Integrated with Natur...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_DiVA_org_ltu_73544

Dew Point Temperature Estimation: Application of Artificial Intelligence Model Integrated with Nature-Inspired Optimization Algorithms

About this item

Full title

Dew Point Temperature Estimation: Application of Artificial Intelligence Model Integrated with Nature-Inspired Optimization Algorithms

Publisher

Basel: MDPI AG

Journal title

Water (Basel), 2019-04, Vol.11 (4), p.742

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Dew point temperature (DPT) is known to fluctuate in space and time regardless of the climatic zone considered. The accurate estimation of the DPT is highly significant for various applications of hydro and agro–climatological researches. The current research investigated the hybridization of a multilayer perceptron (MLP) neural network with nature...

Alternative Titles

Full title

Dew Point Temperature Estimation: Application of Artificial Intelligence Model Integrated with Nature-Inspired Optimization Algorithms

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_swepub_primary_oai_DiVA_org_ltu_73544

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_DiVA_org_ltu_73544

Other Identifiers

ISSN

2073-4441

E-ISSN

2073-4441

DOI

10.3390/w11040742

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