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Model of neuronal network with training of physical-chemical parameters present in tilapia cultivation


Article Information

Title: Model of neuronal network with training of physical-chemical parameters present in tilapia cultivation

Authors: Johan Julian Molina Mosquera, Diego F. Sendoya-Losada, Arcelia Gutierrez Méndez

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2018

Volume: 13

Issue: 2

Language: English

Categories

Abstract

In this paper, the neural network system is modeled, designed and simulated using the computer tool MATLAB according to data obtained from measurements of physicochemical parameters such as temperature and dissolved oxygen present in tilapia cultivation in the Huila department.


Paper summary is not available for this article yet.

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