(Institución)

OceanDocs >
Africa >
Indian Ocean >
Indian Ocean Tuna Commission >
Proceedings - Expert Consultation on Indian Ocean Tunas  >

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/1834/60

Título : Analysis and prediction of yellowfin tuna (Thunnus albacares) catch rates of longline fisheries in the western Indian Ocean using a neural network.
Autor : Nishida, T.
Komatsu, T.
Fecha de publicación : 1998
Citación : IOTC Proceedings, 7th Expert Consultation on Indian Ocean Tunas. p. 241-250
Descripción : Strengthening tuna management is one of the primary tasks for the new Indian Ocean Tuna Commission (IOTC). Stock assessment and the prediction of the dynamics of the tuna resources will become increasingly important research topics because they provide the basic information for the management decision process. Under these circumstances, this paper attempts to develop the stock analyses and prediction techniques using neural networks. As a first step and as a test study, analyses and predictions of catch rates of the Japanese yellowfin tuna longline fisheries are attempted.
URI : http://hdl.handle.net/1834/60
Aparece en las colecciones: Proceedings - Expert Consultation on Indian Ocean Tunas

Ficheros en este ítem:

Fichero Descripción Tamaño Formato
EC7-34.pdf348.52 kBAdobe PDFVisualizar/Abrir

Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.