相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Modelling of ecological status of Polish lakes using deep learning techniques
Daniel Gebler et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2021)
Water quality assessment of a river catchment by the composite water quality index and self-organizing maps
Galina Yotova et al.
ECOLOGICAL INDICATORS (2021)
Machine learning based marine water quality prediction for coastal hydro-environment management
Tianan Deng et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2021)
Colonial nesting waterbirds as vectors of nutrients to Lake Lesser Prespa (Greece)
Yvon J. M. Verstijnen et al.
INLAND WATERS (2021)
Intercomparison of Machine-Learning Methods for Estimating Surface Shortwave and Photosynthetically Active Radiation
Meredith G. L. Brown et al.
REMOTE SENSING (2020)
Prediction of Algal Chlorophyll-a and Water Clarity in Monsoon-Region Reservoir Using Machine Learning Approaches
Md Mamun et al.
WATER (2020)
Cyanobacterial Blooms and Zooplankton Structure in Lake Ecosystem under Limited Human Impact
Agnieszka Napiorkowska-Krzebietke et al.
WATER (2020)
Spatial Differentiation and Multiannual Dynamics of Water Conductivity in Lakes of the Suwaki Landscape Park
Magdalena Borowiak et al.
WATER (2020)
Comparing Activation Functions in Modeling Shoreline Variation Using Multilayer Perceptron Neural Network
Je-Chian Chen et al.
WATER (2020)
Modelling of daily lake surface water temperature from air temperature: Extremely randomized trees (ERT) versus Air2Water, MARS, M5Tree, RF and MLPNN
Salim Heddam et al.
JOURNAL OF HYDROLOGY (2020)
River Water Salinity Prediction Using Hybrid Machine Learning Models
Assefa M. Melesse et al.
WATER (2020)
Dynamics of nutrient and phytoplankton in Epe Lagoon, Nigeria: possible causes and consequences of reoccurring cyanobacterial blooms
Sandra Chinwendu Akagha et al.
APPLIED WATER SCIENCE (2020)
Neural network modeling of hydrological systems: A review of implementation techniques
Oluwaseun Oyebode et al.
NATURAL RESOURCE MODELING (2019)
Exploring environmental predictors of aquatic macrophytes in water-dependent Natura 2000 sites of high conservation value: Results from a long-term study of macrophytes in Greek lakes
Konstantinos Stefanidis et al.
AQUATIC CONSERVATION-MARINE AND FRESHWATER ECOSYSTEMS (2019)
Assessment of the Bulgarian Wastewater Treatment Plants' Impact on the Receiving Water Bodies
Galina Yotova et al.
MOLECULES (2019)
Linkages between Macrophyte Functional Traits and Water Quality: Insights from a Study in Freshwater Lakes of Greece
Konstantinos Stefanidis et al.
WATER (2019)
Comparison of Water Sampling between Environmental DNA Metabarcoding and Conventional Microscopic Identification: A Case Study in Gwangyang Bay, South Korea
Dong-Kyun Kim et al.
APPLIED SCIENCES-BASEL (2019)
Implementation of the Water Framework Directive: Lessons Learned and Future Perspectives for an Ecologically Meaningful Classification Based on Phytoplankton of the Status of Greek Lakes, Mediterranean Region
Maria Moustaka-Gouni et al.
ENVIRONMENTAL MANAGEMENT (2019)
Assessment of Lake Water Quality and Eutrophication Risk in an Agricultural Irrigation Area: A Case Study of the Chagan Lake in Northeast China
Xuemei Liu et al.
WATER (2019)
The Impact of Recreational Activities on Aquatic Vegetation in Alpine Lakes
Piotr Dynowski et al.
WATER (2019)
Assessment of the Eutrophication- Related Environmental Parameters in Two Mediterranean Lakes by Integrating Statistical Techniques and Self-Organizing Maps
Ekaterini Hadjisolomou et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2018)
Flow velocity estimation using a fish-shaped lateral line probe with product-moment correlation features and a neural network
Jeffrey A. Tuhtan et al.
FLOW MEASUREMENT AND INSTRUMENTATION (2017)
Modeling of the river ecological status with macrophytes using artificial neural networks
D. Gebler et al.
LIMNOLOGICA (2017)
Comparative Analysis of ANN and SVM Models Combined with Wavelet Preprocess for Groundwater Depth Prediction
Ting Zhou et al.
WATER (2017)
Assessing the Contribution of the Environmental Parameters to Eutrophication with the Use of the PaD and PaD2 Methods in a Hypereutrophic Lake
Ekaterini Hadjisolomou et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2016)
Modeling water quality in an urban river using hydrological factors - Data driven approaches
Fi-John Chang et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2015)
PRINCIPAL COMPONENT ANALYSIS (PCA) FOR ESTIMATING CHLOROPHYLL CONCENTRATION USING FORWARD AND GENERALIZED REGRESSION NEURAL NETWORKS
Mohammad Zounemat-Kermani
APPLIED ARTIFICIAL INTELLIGENCE (2014)
ANN-based residential water end-use demand forecasting model
Christopher Bennett et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
Vegetation and climate history of the Lake Prespa region since the Lateglacial
Konstantinos Panagiotopoulos et al.
QUATERNARY INTERNATIONAL (2013)
Occurrence of toxic cyanobacterial blooms for the first time in Lake Karaoun, Lebanon
Ali Atoui et al.
WATER AND ENVIRONMENT JOURNAL (2013)
Application of surrogate artificial intelligent models for real-time flood routing
Hossein Ghalkhani et al.
WATER AND ENVIRONMENT JOURNAL (2013)
Using chlorophyll a and cyanobacteria in the ecological classification of lakes
Martin Sondergaard et al.
ECOLOGICAL INDICATORS (2011)
Neural network estimation of chlorophyll a from MERIS full resolution data for the coastal waters of Galician rias (NW Spain)
Luis Gonzalez Vilas et al.
REMOTE SENSING OF ENVIRONMENT (2011)
Controlling harmful cyanobacterial blooms in a hyper-eutrophic lake (Lake Taihu, China): The need for a dual nutrient (N & P) management strategy
Hans W. Paerl et al.
WATER RESEARCH (2011)
Increasing the accuracy of neural network classification using refined training data
Taskin Kavzoglu
ENVIRONMENTAL MODELLING & SOFTWARE (2009)
Eutrophication and harmful algal blooms: A scientific consensus
J. Heisler et al.
HARMFUL ALGAE (2008)
Data-driven modelling: some past experiences and new approaches
Dimitri P. Solomatine et al.
JOURNAL OF HYDROINFORMATICS (2008)
An ANN application for water quality forecasting
Sundarambal Palani et al.
MARINE POLLUTION BULLETIN (2008)
Machine learning methods without tears: A primer for ecologists
Julian D. Olden et al.
QUARTERLY REVIEW OF BIOLOGY (2008)
Applications of artificial neural networks predicting macroinvertebrates in freshwaters
Peter L. M. Goethals et al.
AQUATIC ECOLOGY (2007)
Shallow lake restoration by nutrient loading reduction - some recent findings and challenges ahead
Erik Jeppesen et al.
HYDROBIOLOGIA (2007)
Time series forecasting of cyanobacteria blooms in the Crestuma Reservoir (Douro River, Portugal) using artificial neural networks
Luis Oliva Teles et al.
ENVIRONMENTAL MANAGEMENT (2006)
Habitat distribution of fish in late summer: changes along a nutrient gradient in Danish lakes
E. Jeppesen et al.
ECOLOGY OF FRESHWATER FISH (2006)
Methodological issues in building, training, and testing artificial neural networks in ecological applications
Stacy L. Ozesmi et al.
ECOLOGICAL MODELLING (2006)
Neural network and genetic programming for modelling coastal algal blooms
Nitin Muttil et al.
INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION (2006)
Assessing and managing nutrient-enhanced eutrophication in estuarine and coastal waters: Interactive effects of human and climatic perturbations
HW Paerl
ECOLOGICAL ENGINEERING (2006)
Eutrophication of freshwater and marine ecosystems
Val H. Smith et al.
LIMNOLOGY AND OCEANOGRAPHY (2006)
Cyanobacterial blooms and water quality in Greek waterbodies
E Vardaka et al.
JOURNAL OF APPLIED PHYCOLOGY (2005)
Optimization of Artificial Neural Network (ANN) model design for prediction of macroinvertebrates in the Zwalm river basin (Flanders, Belgium)
AP Dedecker et al.
ECOLOGICAL MODELLING (2004)
Review and comparison of methods to study the contribution of variables in artificial neural network models
M Gevrey et al.
ECOLOGICAL MODELLING (2003)
Neural network modelling of coastal algal blooms
JHW Lee et al.
ECOLOGICAL MODELLING (2003)
Stability problems with artificial neural networks and the ensemble solution
P Cunningham et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2000)
分享论文
