Mathematical simulation for algal growth in the water reservoirs of Moncton city (New Brunswick, Canada) by the supervised learning classifier
Date
2018-02-01
Journal Title
Journal ISSN
Volume Title
Publisher
Lviv Politechnic Publishing House
Abstract
Mathematical model is a good approach to deal
with the coupling effects of governing parameters in algal
bloom growth. Among manymodels to deal with combining
factors and data-based supervised learning classifiers, the
Artificial Neural Network (ANN) has the most significant
impact on the development of bloom pattern. The objective
of this paper is to use the Artificial Neural Network (ANN)
model to simulate the growth of harmful algae under
environmental factors that can lead to bloom pattern in two
reservoirs of Moncton city (Canada) with the collected data
fromtwo years of observation 2016–2017.
Description
Keywords
Artificial Neural Network (ANN), Cyanobacteria, Harmful Algal Blooms (HAB), Modified Redfield Ratio (MRR), Supervised learning classifier
Citation
Sabir Q. A. Mathematical simulation for algal growth in the water reservoirs of Moncton city (New Brunswick, Canada) by the supervised learning classifier / Qurat-Ul An Sabir, Muhammad Nadeem, Tri Nguyen-Quang // Environmental Problems. — Lviv : Lviv Politechnic Publishing House, 2018. — Vol 3. — No 2. — P. 103–114.