(Q55008002)

English

A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition.

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scholarly article

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition. (English)

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

long short-term memory

1 reference

based on heuristic

inferred from title

author name string

Xike Zhang

1

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

Qiuwen Zhang

2

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

Gui Zhang

3

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

Zhiping Nie

4

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

Zifan Gui

5

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

Huafei Que

6

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

publication date

21 May 2018

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

International Journal of Environmental Research and Public Health

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

15

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

5

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

copyright license

Creative Commons Attribution 4.0 International

21 May 2018

1 reference

April 2022 Public Data File from Crossref

copyright status

0 references

Application of decomposition-ensemble learning paradigm with phase space reconstruction for day-ahead PM2.5 concentration forecasting.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=5982071

16 June 2018

An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=5982071

16 June 2018

Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=5982071

16 June 2018

Deep learning in neural networks: an overview

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=5982071

16 June 2018

Long short-term memory

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=5982071

16 June 2018

A review of global environmental mercury processes in response to human and natural perturbations: Changes of emissions, climate, and land use.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=5982071

13 August 2018

Learning long-term dependencies with gradient descent is difficult.

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=5982071

13 August 2018

Identifiers

10.3390/IJERPH15051032

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

release_y74i6bhkfra5tdjkcnqsfdscg4

1 reference

https://api.fatcat.wiki/v0/release/y74i6bhkfra5tdjkcnqsfdscg4

24 November 2022

based on heuristic

mapped directly with Wikidata item

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

1 reference

Europe PubMed Central

15 June 2018

http://europepmc.org/abstract/PMC/5982071

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