Combination of artificial neural network and clustering techniques for predicting phytoplankton biomass of Lake Poyang, China
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Combination of artificial neural network and clustering techniques for predicting phytoplankton biomass of Lake Poyang, China
Authors
Keywords
Chlorophyll <em class=EmphasisTypeItalic >a</em>, Artificial neural network, Clustering, Lake Poyang, Sensitivity analysis
Journal
LIMNOLOGY
Volume 16, Issue 3, Pages 179-191
Publisher
Springer Nature
Online
2015-05-08
DOI
10.1007/s10201-015-0454-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Towards better environmental software for spatio-temporal ecological models: Lessons from developing an intelligent system supporting phytoplankton prediction in lakes
- (2015) Jiacong Huang et al. Ecological Informatics
- Modeling impacts of water transfers on alleviation of phytoplankton aggregation in Lake Taihu
- (2015) Jiacong Huang et al. JOURNAL OF HYDROINFORMATICS
- A Comparison of Three Approaches to Predict Phytoplankton Biomass in Gonghu Bay of Lake Taihu
- (2015) J. C. Huang et al. Journal of Environmental Informatics
- Complex time series analysis of PM10 and PM2.5 for a coastal site using artificial neural network modelling and k-means clustering
- (2014) M.A. Elangasinghe et al. ATMOSPHERIC ENVIRONMENT
- The problem of multicollinearity in horizontal solar radiation estimation models and a new model for Turkey
- (2014) Haydar Demirhan ENERGY CONVERSION AND MANAGEMENT
- Evaluating, interpreting, and communicating performance of hydrologic/water quality models considering intended use: A review and recommendations
- (2014) R.D. Harmel et al. ENVIRONMENTAL MODELLING & SOFTWARE
- When do aquatic systems models provide useful predictions, what is changing, and what is next?
- (2014) Barbara J. Robson ENVIRONMENTAL MODELLING & SOFTWARE
- Protocol for developing ANN models and its application to the assessment of the quality of the ANN model development process in drinking water quality modelling
- (2014) Wenyan Wu et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Spatial distribution of chlorophyll a and its relationship with the environment during summer in Lake Poyang: a Yangtze-connected lake
- (2014) Zhaoshi Wu et al. HYDROBIOLOGIA
- Modelling of chemical oxygen demand by using ANNs, ANFIS and k-means clustering techniques
- (2014) Murat Ay et al. JOURNAL OF HYDROLOGY
- Reducing the loss of information and gaining accuracy with clustering methods in a global land-use model
- (2013) Jan Philipp Dietrich et al. ECOLOGICAL MODELLING
- Distinguishing the relative impacts of climate change and human activities on variation of streamflow in the Poyang Lake catchment, China
- (2013) Xuchun Ye et al. JOURNAL OF HYDROLOGY
- Modeling daily chlorophyll a dynamics in a German lowland river using artificial neural networks and multiple linear regression approaches
- (2013) Naicheng Wu et al. LIMNOLOGY
- A comparative study of efficient initialization methods for the k-means clustering algorithm
- (2012) M. Emre Celebi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Phytoplankton biomass is mainly controlled by hydrology and phosphorus concentrations in tropical hydroelectric reservoirs
- (2012) Luciana M. Rangel et al. HYDROBIOLOGIA
- Integrating three lake models into a Phytoplankton Prediction System for Lake Taihu (Taihu PPS) with Python
- (2012) Jiacong Huang et al. JOURNAL OF HYDROINFORMATICS
- Distribution and characterization of organochlorine pesticides and polycyclic aromatic hydrocarbons in surface sediment from Poyang Lake, China
- (2012) Mang Lu et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Extracting physical homogeneous regions out of irrigation networks using fuzzy clustering method: a case study for the Ghazvin canal irrigation network
- (2011) M. J. Monem et al. JOURNAL OF HYDROINFORMATICS
- Water quality comprehensive evaluation method for large water distribution network based on clustering analysis
- (2011) Kui Chang et al. JOURNAL OF HYDROINFORMATICS
- Hydrodynamic-phytoplankton model for short-term forecasts of phytoplankton in Lake Taihu, China
- (2011) Jiacong Huang et al. LIMNOLOGICA
- MODIS observations of the bottom topography and its inter-annual variability of Poyang Lake
- (2011) Lian Feng et al. REMOTE SENSING OF ENVIRONMENT
- Challenges and opportunities for integrating lake ecosystem modelling approaches
- (2010) Wolf M. Mooij et al. AQUATIC ECOLOGY
- Simulation of river stage using artificial neural network and MIKE 11 hydrodynamic model
- (2010) Rabindra K. Panda et al. COMPUTERS & GEOSCIENCES
- A review of recent developments in lake modelling
- (2010) Sven Erik Jørgensen ECOLOGICAL MODELLING
- Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions
- (2010) Holger R. Maier et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Distribution of phytoplankton in a German lowland river in relation to environmental factors
- (2010) N. Wu et al. JOURNAL OF PLANKTON RESEARCH
- Artificial neural network modeling of the river water quality—A case study
- (2009) Kunwar P. Singh et al. ECOLOGICAL MODELLING
- The effects of temperature and nutrients on the growth and dynamics of toxic and non-toxic strains of Microcystis during cyanobacteria blooms
- (2009) Timothy W. Davis et al. HARMFUL ALGAE
- Data clustering: 50 years beyond K-means
- (2009) Anil K. Jain PATTERN RECOGNITION LETTERS
- Chlorophyll–nutrient relationships of different lake types using a large European dataset
- (2008) G. Phillips et al. AQUATIC ECOLOGY
- Modelling spatial heterogeneity of phytoplankton in Lake Mangueira, a large shallow subtropical lake in South Brazil
- (2008) Carlos R. Fragoso et al. ECOLOGICAL MODELLING
- A two-dimensional ecological model of Lake Erie: Application to estimate dreissenid impacts on large lake plankton populations
- (2008) Hongyan Zhang et al. ECOLOGICAL MODELLING
- Overview of the model types available for development of ecological models
- (2008) Sven Erik Jørgensen ECOLOGICAL MODELLING
- Non-linear autoregressive modelling by Temporal Recurrent Neural Networks for the prediction of freshwater phytoplankton dynamics
- (2007) Kwang-Seuk Jeong et al. ECOLOGICAL MODELLING
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now