Related references
Note: Only part of the references are listed.Modeling aquifer hydrograph: performance review of conceptual MODFLOW and simulator models
Feridon Radmanesh et al.
ARABIAN JOURNAL OF GEOSCIENCES (2020)
Modelling of biochemical oxygen demand from limited water quality variable by ANFIS using two partition methods
Belouz Khaled et al.
WATER QUALITY RESEARCH JOURNAL OF CANADA (2018)
Improving SVR and ANFIS performance using wavelet transform and PCA algorithm for modeling and predicting biochemical oxygen demand (BOD)
Abazar Solgi et al.
ECOHYDROLOGY & HYDROBIOLOGY (2017)
River water modelling prediction using multi-linear regression, artificial neural network, and adaptive neuro-fuzzy inference system techniques
S. I. Abba et al.
9TH INTERNATIONAL CONFERENCE ON THEORY AND APPLICATION OF SOFT COMPUTING, COMPUTING WITH WORDS AND PERCEPTION, ICSCCW 2017 (2017)
Simulation, evaluation and prediction modeling of river water quality properties (case study: Ireland Rivers)
E. S. Salami et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2015)
Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean
Mohamad Javad Alizadeh et al.
MARINE POLLUTION BULLETIN (2015)
Assimilative Capacity and Flow Dilution for Water Quality Protection in Rivers
Mostafa Farhadian et al.
JOURNAL OF HAZARDOUS TOXIC AND RADIOACTIVE WASTE (2015)
Predictive modeling of groundwater nitrate pollution using Random Forest and multisource variables related to intrinsic and specific vulnerability: A case study in an agricultural setting (Southern Spain)
Victor Rodriguez-Galiano et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2014)
Fuzzy logic models for BOD removal prediction in free-water surface constructed wetlands
Irini P. Kotti et al.
ECOLOGICAL ENGINEERING (2013)
Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China
Xiaohu Wen et al.
ENVIRONMENTAL MONITORING AND ASSESSMENT (2013)
Predicting Longitudinal Dispersion Coefficient in Natural Streams Using M5′ Model Tree
Amir Etemad-Shahidi et al.
JOURNAL OF HYDRAULIC ENGINEERING (2012)
Relevance of airborne lidar and multispectral image data for urban scene classification using Random Forests
Li Guo et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2011)
Multivariate statistical analysis of surface water quality based on correlations and variations in the data set
R. Noori et al.
DESALINATION (2010)
Analytic network process for pattern classification problems using genetic algorithms
Yi-Chung Hu
INFORMATION SCIENCES (2010)
Water quality of the Chhoti Gandak River using principal component analysis, Ganga Plain, India
Vikram Bhardwaj et al.
JOURNAL OF EARTH SYSTEM SCIENCE (2010)
Artificial neural network modeling of the river water quality-A case study
Kunwar P. Singh et al.
ECOLOGICAL MODELLING (2009)
Evaluation of spatial and seasonal variations in surface water quality using multivariate statistical techniques
A. H. Pejman et al.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY (2009)
An improved water footprint methodology linking global consumption to local water resources: A case of Spanish tomatoes
A. K. Chapagain et al.
JOURNAL OF ENVIRONMENTAL MANAGEMENT (2009)
A Multivariate ANN-Wavelet Approach for Rainfall-Runoff Modeling
Vahid Nourani et al.
WATER RESOURCES MANAGEMENT (2009)
Using chemometrics to evaluate anthropogenic effects in Daya Bay, China
Mei-Lin Wu et al.
ESTUARINE COASTAL AND SHELF SCIENCE (2007)
Using artificial neural network for reservoir eutrophication prediction
Jan-Tai Kuo et al.
ECOLOGICAL MODELLING (2007)
Performance of two stochastic approaches for forecasting water quality and streamflow data from Yesilιrmak River, Turkey
A Kurunç et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2005)
Principal component analysis: an appropriate tool for water quality evaluation and management-application to a tropical lake system
B Parinet et al.
ECOLOGICAL MODELLING (2004)
Assessing wastewater reclamation potential by neural network model
JC Chen et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2003)
An adaptive neural-wavelet model for short term load forecasting
BL Zhang et al.
ELECTRIC POWER SYSTEMS RESEARCH (2001)
Share Paper
