Modeling the BOD of Danube River in Serbia using spatial, temporal, and input variables optimized artificial neural network models
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Modeling the BOD of Danube River in Serbia using spatial, temporal, and input variables optimized artificial neural network models
Authors
Keywords
BOD, ANN optimization, GRNN, Danube River
Journal
ENVIRONMENTAL MONITORING AND ASSESSMENT
Volume 188, Issue 5, Pages -
Publisher
Springer Nature
Online
2016-04-19
DOI
10.1007/s10661-016-5308-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Generalized regression neural network (GRNN)-based approach for colored dissolved organic matter (CDOM) retrieval: case study of Connecticut River at Middle Haddam Station, USA
- (2014) Salim Heddam ENVIRONMENTAL MONITORING AND ASSESSMENT
- Artificial neural network modelling of biological oxygen demand in rivers at the national level with input selection based on Monte Carlo simulations
- (2014) Aleksandra Šiljić et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Implementation of Artificial Neural Networks in Modeling the Water-Air Temperature Relationship of the River Drava
- (2014) Marijana Hadzima-Nyarko et al. WATER RESOURCES MANAGEMENT
- Optimized Neural Network Prediction Model for Potential Evapotranspiration Utilizing Ensemble Procedure
- (2014) Ahmed El-Shafie et al. WATER RESOURCES MANAGEMENT
- River Discharges Forecasting In Northern Iraq Using Different ANN Techniques
- (2014) Taymoor A. Awchi WATER RESOURCES MANAGEMENT
- Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case study
- (2013) Davor Antanasijević et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- Uncertainty analysis of streamflow drought forecast using artificial neural networks and Monte-Carlo simulation
- (2013) Majid Dehghani et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Prediction of water quality parameters of Karoon River (Iran) by artificial intelligence-based models
- (2013) S. Emamgholizadeh et al. International Journal of Environmental Science and Technology
- Forecasting GHG emissions using an optimized artificial neural network model based on correlation and principal component analysis
- (2013) Davor Z. Antanasijević et al. International Journal of Greenhouse Gas Control
- Turbidity Prediction in a River Basin by Using Artificial Neural Networks: A Case Study in Northern Spain
- (2013) C. Iglesias et al. WATER RESOURCES MANAGEMENT
- Prediction of water quality from simple field parameters
- (2012) A. K. Verma et al. Environmental Earth Sciences
- Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China
- (2012) Xiaohu Wen et al. ENVIRONMENTAL MONITORING AND ASSESSMENT
- Suspended sediment load prediction of river systems: An artificial neural network approach
- (2011) A.M. Melesse et al. AGRICULTURAL WATER MANAGEMENT
- An artificial neural network model for flood simulation using GIS: Johor River Basin, Malaysia
- (2011) Masoud Bakhtyari Kia et al. Environmental Earth Sciences
- Active and online prediction of BOD5 in river systems using reduced-order support vector machine
- (2011) Roohollah Noori et al. Environmental Earth Sciences
- A refined index of model performance
- (2011) Cort J. Willmott et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Linear and nonlinear modeling for simultaneous prediction of dissolved oxygen and biochemical oxygen demand of the surface water — A case study
- (2010) Nikita Basant et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Neural network modeling of dissolved oxygen in the Gruža reservoir, Serbia
- (2010) Vesna Ranković et al. ECOLOGICAL MODELLING
- Artificial neural network modeling of the river water quality—A case study
- (2009) Kunwar P. Singh et al. ECOLOGICAL MODELLING
- The relationship of climatic and hydrological parameters to surface water quality in the lower Mekong River
- (2008) Lunchakorn Prathumratana et al. ENVIRONMENT INTERNATIONAL
- Modeling biological oxygen demand of the Melen River in Turkey using an artificial neural network technique
- (2008) Emrah Dogan et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search