An optimization of artificial neural network model for predicting chlorophyll dynamics-Reference-Cited by-同舟云学术

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An optimization of artificial neural network model for predicting chlorophyll dynamics

Published:2017-11 Issue: Volume:364 Page:42-52
ISSN:0304-3800
Container-title:Ecological Modelling
language:en
Short-container-title:Ecological Modelling

Author:

Tian Wenchong,Liao Zhenliang,Zhang Jin

Funder

National Natural Science Foundation of China

German BMBF

“Managing Water Resources for Urban Catchments”

“Key Technologies and Management Modes for the Water Environmental Rehabilitation of a Lake City from the Catchment Viewpoint”

Publisher

Elsevier BV

Subject

Ecological Modelling

Reference23 articles.

1. Probabilistic prediction of cyanobacteria abundance in a Korean reservoir using a Bayesian Poisson model;Cha;Water Resour. Res.,2014

2. Proactive management of estuarine algal blooms using an automated monitoring buoy coupled with an artificial neural network;Coad;Environ. Modell. Softw.,2014

3. 2004. Optimization of Artificial Neural Network (ANN) model design for prediction of macroinvertebrates in the Zwalm river basin (Flanders, Belgium);Dedecker;Ecol. Modell.,2004

4. Introduction to Machine Learning;Ethem,2010

5. Artificial neural network modeling for predicting the growth of the microalga karlodinium veneficum;García-Camacho;Algal Res.,2016

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