Comparison between traditional methods and artificial neural networks for ammonia concentration forecasting in an eel (Anguilla anguilla L.) intensive rearing system
Published in: | Aquacultural Engineering |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Elsevier BV
2004
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1016/j.aquaeng.2004.03.001 https://api.elsevier.com/content/article/PII:S0144860904000159?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0144860904000159?httpAccept=text/plain |
id |
crelsevierbv:10.1016/j.aquaeng.2004.03.001 |
---|---|
record_format |
openpolar |
spelling |
crelsevierbv:10.1016/j.aquaeng.2004.03.001 2024-03-10T08:29:55+00:00 Comparison between traditional methods and artificial neural networks for ammonia concentration forecasting in an eel (Anguilla anguilla L.) intensive rearing system Gutiérrez-Estrada, Juan C de Pedro-Sanz, Emiliano López-Luque, Rafael Pulido-Calvo, Inmaculada 2004 http://dx.doi.org/10.1016/j.aquaeng.2004.03.001 https://api.elsevier.com/content/article/PII:S0144860904000159?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0144860904000159?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ Aquacultural Engineering volume 31, issue 3-4, page 183-203 ISSN 0144-8609 Aquatic Science journal-article 2004 crelsevierbv https://doi.org/10.1016/j.aquaeng.2004.03.001 2024-02-14T20:40:02Z Article in Journal/Newspaper Anguilla anguilla ScienceDirect (Elsevier) Aquacultural Engineering 31 3-4 183 203 |
institution |
Open Polar |
collection |
ScienceDirect (Elsevier) |
op_collection_id |
crelsevierbv |
language |
English |
topic |
Aquatic Science |
spellingShingle |
Aquatic Science Gutiérrez-Estrada, Juan C de Pedro-Sanz, Emiliano López-Luque, Rafael Pulido-Calvo, Inmaculada Comparison between traditional methods and artificial neural networks for ammonia concentration forecasting in an eel (Anguilla anguilla L.) intensive rearing system |
topic_facet |
Aquatic Science |
format |
Article in Journal/Newspaper |
author |
Gutiérrez-Estrada, Juan C de Pedro-Sanz, Emiliano López-Luque, Rafael Pulido-Calvo, Inmaculada |
author_facet |
Gutiérrez-Estrada, Juan C de Pedro-Sanz, Emiliano López-Luque, Rafael Pulido-Calvo, Inmaculada |
author_sort |
Gutiérrez-Estrada, Juan C |
title |
Comparison between traditional methods and artificial neural networks for ammonia concentration forecasting in an eel (Anguilla anguilla L.) intensive rearing system |
title_short |
Comparison between traditional methods and artificial neural networks for ammonia concentration forecasting in an eel (Anguilla anguilla L.) intensive rearing system |
title_full |
Comparison between traditional methods and artificial neural networks for ammonia concentration forecasting in an eel (Anguilla anguilla L.) intensive rearing system |
title_fullStr |
Comparison between traditional methods and artificial neural networks for ammonia concentration forecasting in an eel (Anguilla anguilla L.) intensive rearing system |
title_full_unstemmed |
Comparison between traditional methods and artificial neural networks for ammonia concentration forecasting in an eel (Anguilla anguilla L.) intensive rearing system |
title_sort |
comparison between traditional methods and artificial neural networks for ammonia concentration forecasting in an eel (anguilla anguilla l.) intensive rearing system |
publisher |
Elsevier BV |
publishDate |
2004 |
url |
http://dx.doi.org/10.1016/j.aquaeng.2004.03.001 https://api.elsevier.com/content/article/PII:S0144860904000159?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0144860904000159?httpAccept=text/plain |
genre |
Anguilla anguilla |
genre_facet |
Anguilla anguilla |
op_source |
Aquacultural Engineering volume 31, issue 3-4, page 183-203 ISSN 0144-8609 |
op_rights |
https://www.elsevier.com/tdm/userlicense/1.0/ |
op_doi |
https://doi.org/10.1016/j.aquaeng.2004.03.001 |
container_title |
Aquacultural Engineering |
container_volume |
31 |
container_issue |
3-4 |
container_start_page |
183 |
op_container_end_page |
203 |
_version_ |
1793136065702264832 |