Determination of sensitive variables regardless of hydrological alteration in artificial neural network model of chlorophyll a: Case study of Nakdong River-Reference-Cited by-同舟云学术

Determination of sensitive variables regardless of hydrological alteration in artificial neural network model of chlorophyll a: Case study of Nakdong River

Published:2019-04 Issue: Volume:398 Page:67-76
ISSN:0304-3800
Container-title:Ecological Modelling
language:en
Short-container-title:Ecological Modelling

Author:

Kim Hyo Gyeom,Hong Sungwon^ORCID,Jeong Kwang-Seuk^ORCID,Kim Dong-Kyun^ORCID,Joo Gea-Jae

Funder

Basic Research

NRFNRF (National Research Foundation of Korea)

Publisher

Elsevier BV

Subject

Ecological Modelling

Reference58 articles.

1. NeuralNetTools: Visualization and Analysis Tools for Neural Networks. Version 1.3.2;Beck,2015

2. Cyanobacterial harmful algal blooms are a biological disturbance to western Lake Erie bacterial communities;Berry;Environ. Microbiol.,2017

3. Wind influences phytoplankton biomass and composition in a shallow, productive lake;Carrick;Limnol. Oceanogr.,1993

4. Summer phytoplankton nutrient limitation in Maumee Bay of Lake Erie during high-flow and low-flow years;Chaffin;J. Great Lakes Res.,2014

5. Polynomial regression as an alternative to neural nets;Cheng;arXiv,2018

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