Forecasting El Niño/La Niña and Their Types Using Neural Networks
Clicks: 152
ID: 273638
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
152 views
16 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #2 of 2 articles by views in russian meteorology and hydrology
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Request PDF | Forecasting El Niño/La Niña and Their Types Using Neural Networks | A possibility of the early prediction of El Niño and La Niña phenomena taking into account their two types (Central Pacific and East Pacific ones)... | Find, read and cite all the research you need on ResearchGate
Abstract Quality Issue:
This abstract appears to be incomplete or contains metadata (53 words).
Try re-searching for a better abstract.
| Reference Key |
lubkov2020russianforecasting
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | A S Lubkov;E N Voskresenskaya;O V Marchukova; |
| Journal | russian meteorology and hydrology |
| Year | 2020 |
| DOI |
http://dx.doi.org/10.3103/S1068373920110084
|
| URL | |
| Keywords |
|
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.