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Using Principle Component Regression, Artificial Neural Network, and Hybrid Models for Predicting Phytoplankton Abundance in Macau Storage Reservoir Journal article
Iek In Ieong, Inchio Lou, Wai Kin Ung, Kai Meng Mok. Using Principle Component Regression, Artificial Neural Network, and Hybrid Models for Predicting Phytoplankton Abundance in Macau Storage Reservoir[J]. Environmental Modeling and Assessment, 2015, 20(4), 355-365.
Authors:  Iek In Ieong;  Inchio Lou;  Wai Kin Ung;  Kai Meng Mok
Favorite | TC[WOS]:7 TC[Scopus]:11  IF:2.7/2.5 | Submit date：2019/02/12
Algal Bloom  Artificial Neural Network  Forecast Model  Phytoplankton Abundance  Prediction Model  Principle Component Analysis  
FRESHWASTER PHYTOPLANKTON FORECASTING MODEL BY PRINCIPLE COMPONENT REGRESSION, ARTIFICIAL NEURAL NETWORK AND THEIR COMBINATION Conference paper
IEK IN IEONG, IN CHIO LOU, WAI KIN UNG, KAI MENG MOK. FRESHWASTER PHYTOPLANKTON FORECASTING MODEL BY PRINCIPLE COMPONENT REGRESSION, ARTIFICIAL NEURAL NETWORK AND THEIR COMBINATION[C]:HIC 2012, 2012.
Authors:  IEK IN IEONG;  IN CHIO LOU;  WAI KIN UNG;  KAI MENG MOK
Favorite |  | Submit date：2019/05/28
Algal Bloom  Pcr  Ann  Forecast Model