Evidence map›Paper›PMID 31705408›Full record

ArticleEnvironmental science and pollution research international2019

SVR-RSM: a hybrid heuristic method for modeling monthly pan evaporation.

Behrooz Keshtegar, Salim Heddam, Abderrazek Sebbar, Shun-Peng Zhu, Nguyen-Thoi Trung

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Behrooz KeshtegarDivision of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam. beh.keshtegar@tdtu.edu.vn.
Salim HeddamFaculty of Science, Agronomy Department, Hydraulics Division, Laboratory of Research in Biodiversity Interaction Ecosystem and Biotechnology, University 20 Août 1955, Route El Hadaik, 26, Skikda, BP, Algeria. heddamsalim@yahoo.fr.ORCID https://orcid.org/0000-0002-8055-8463
Abderrazek SebbarSoil and Hydraulics Research Laboratory, Faculty of Engineering Sciences, Hydraulics Department, University Badji-Mokhtar, Annaba, Algeria.
Shun-Peng ZhuSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Nguyen-Thoi TrungDivision of Computational Mathematics and Engineering, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, a hybrid intelligent model called SVR_RSM, which was extracted using response surface method (RSM) combined by the support vector regression (SVR) approaches was applied for predicting monthly pan evaporation (E

Indexed as

HeuristicsAlgeriaEnvironmental MonitoringNeural Networks, ComputerRegression AnalysisWindAccurate predictionsHybrid intelligent modelMonthly pan evaporationResponse surface methodSupport vector regression

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.