Time series prediction using artificial neural networks
In this work, artificial neural network (ANN) algorithms were used to predict time series of the oceanographic variables Southern Oscilation Index (SOI) and sea surface temperature anomaly (SSTA). The finite impulse response neural network (FIRNN) was applied to data obtained from the NOAA...
保存先:
| 主要な著者: | , , |
|---|---|
| フォーマット: | Online |
| 言語: | eng |
| 出版事項: |
Iniversidad Autónoma de Baja California
2002
|
| オンライン･アクセス: | https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/205 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
@UABCInstitucional
UABC_Oficial
@UABC_Oficial
Tel: +52 686 551 82 00
cienciaabierta@uabc.edu.mx