| Título |
Neural network modelling for dissolved oxygen effects in extensive Litopenaeus vannamei culture |
| Tipo |
Congreso |
| Sub-tipo |
Indefinido |
| Descripción |
15th Mexican International Conference on Artificial Intelligence, MICAI 2016 |
| Resumen |
Shrimp aquaculture is an important activity currently practiced worldwide. Dissolved oxygen can be lethal in organisms when low concentrations are present in an extensive cultured pond. According to this, a new computational model for dissolved oxygen assessment using artificial neural networks is proposed. Measurements from environmental parameters related with dissolved oxygen were used, classifying those negative situations that can affect the environmental stability of the ecosystem. As a result, an indicator concerning the good or bad water quality condition is obtained. Finally, comparisons against models reported in literature show the good performance of the proposed model. |
| Observaciones |
DOI 10.1007/978-3-319-62428-0_10
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Lugar |
Cancún, Quintana Roo |
| País |
Mexico |
| No. de páginas |
132-140 |
| Vol. / Cap. |
v. 10062 LNAI |
| Inicio |
2016-10-23 |
| Fin |
2016-10-28 |
| ISBN/ISSN |
9783319624273 |
