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Article . 2023
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Modelo aleatorio de crecimiento CCT biparamétrico

Authors: Alamar, M.; Estruch, V.; Pastor, J.; Vidal, A.;

Modelo aleatorio de crecimiento CCT biparamétrico

Abstract

Se presenta un modelo matemático para simular el crecimiento de peces en peso. Este modelo se basa en el propuesto por Cho (1992), el cual se fundamenta en un único parámetro: el coeficiente de crecimiento térmico (CCT). La característica fundamental del nuevo modelo es la consideración de otro parámetro más, el cual permite separar la influencia de la temperatura y la de otros factores en el crecimiento de los peces. El modelo propuesto permite considerar la temperatura y el peso inicial como variables aleatorias y se ha implementado en un programa de ordenador utilizando el lenguaje del paquete matemático Matlab.

A mathematical model to simulate fish growth is presented, based on the model proposed by Cho (1992), which had only one parameter: the thermal growth coefficient (TGC). Our new model's fundamental difference is the consideration of a second parameter, which makes it possible to factor out the impact of temperature and other factors on fish growth. The proposed model enables us to consider temperature and starting weight as random variables, and has been implemented in a computer program using the Matlab mathematical package.

Instituto Español de Oceanografía

Country
Spain
Keywords

Modelo matemático, Medio Marino, coeficiente de crecimiento térmico, crecimiento de peces

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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