Modeling the BOD of Danube River in Serbia using spatial, temporal, and input variables optimized artificial neural network models

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