Prediction of dissolved oxygen concentration in hypoxic river systems using support vector machine: a case study of Wen-Rui Tang River, China

Rapid measurement of epimedin A, epimedin B, epimedin C, icariin, and moisture in Herba Epimedii using near infrared spectroscopy

(2017) Yue Yang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

(2016) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Integrated Application of Multivariate Statistical Methods to Source Apportionment of Watercourses in the Liao River Basin, Northeast China

(2016) Jiabo Chen et al.   International Journal of Environmental Research and Public Health

Estimation of dissolved oxygen using data-driven techniques in the Tai Po River, Hong Kong

(2015) Samira Nemati et al.   Environmental Earth Sciences

Uncertainty analysis of support vector machine for online prediction of five-day biochemical oxygen demand

(2015) Roohollah Noori et al.   JOURNAL OF HYDROLOGY

Application of GRNN neural network in non-texture image inpainting and restoration

(2015) Vahid K. Alilou et al.   PATTERN RECOGNITION LETTERS

Support vector machine applications in the field of hydrology: A review

(2014) Sujay Raghavendra. N et al.   APPLIED SOFT COMPUTING

Climate variability masks the impacts of land use change on nutrient export in a suburbanizing watershed

(2014) Nathaniel B. Morse et al.   BIOGEOCHEMISTRY

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

Modelling hourly dissolved oxygen concentration (DO) using dynamic evolving neural-fuzzy inference system (DENFIS)-based approach: case study of Klamath River at Miller Island Boat Ramp, OR, USA

(2014) Salim Heddam   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Prediction of water quality index in constructed wetlands using support vector machine

(2014) Reza Mohammadpour et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Generalized regression neural network-based approach for modelling hourly dissolved oxygen concentration in the Upper Klamath River, Oregon, USA

(2014) Salim Heddam   ENVIRONMENTAL TECHNOLOGY

Modelling of dissolved oxygen in the Danube River using artificial neural networks and Monte Carlo Simulation uncertainty analysis

(2014) Davor Antanasijević et al.   JOURNAL OF HYDROLOGY

River Discharges Forecasting In Northern Iraq Using Different ANN Techniques

(2014) Taymoor A. Awchi   WATER RESOURCES MANAGEMENT

Artificial neural network modeling of dissolved oxygen in reservoir

(2013) Wei-Bo Chen et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Predicting dissolved oxygen concentration using kernel regression modeling approaches with nonlinear hydro-chemical data

(2013) Kunwar P. Singh et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

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

Performance of ANFIS versus MLP-NN dissolved oxygen prediction models in water quality monitoring

(2013) A. Najah et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

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

Forecasting human exposure to PM10 at the national level using an artificial neural network approach

(2013) Davor Z. Antanasijević et al.   JOURNAL OF CHEMOMETRICS

A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region

(2013) Zhibin He et al.   JOURNAL OF HYDROLOGY

Artificial neural network modeling of dissolved oxygen in the Heihe River, Northwestern China

(2012) Xiaohu Wen et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Modeling discharge–sediment relationship using neural networks with artificial bee colony algorithm

(2012) Ozgur Kisi et al.   JOURNAL OF HYDROLOGY

Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting

(2012) Robert J. Abrahart et al.   PROGRESS IN PHYSICAL GEOGRAPHY

PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization

(2012) Davor Z. Antanasijević et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Support vector machines in water quality management

(2011) Kunwar P. Singh et al.   ANALYTICA CHIMICA ACTA

Depth-Integrated Estimation of Dissolved Oxygen in a Lake

(2011) A. Akkoyunlu et al.   JOURNAL OF ENVIRONMENTAL ENGINEERING

Optimizing water quality monitoring networks using continuous longitudinal monitoring data: a case study of Wen-Rui Tang River, Wenzhou, China

(2011) Kun Mei et al.   JOURNAL OF ENVIRONMENTAL MONITORING

Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction

(2011) R. Noori et al.   JOURNAL OF HYDROLOGY

Eutrophication in a Chinese Context: Understanding Various Physical and Socio-Economic Aspects

(2010) Chao Gao et al.   AMBIO

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

A hybrid model coupled with singular spectrum analysis for daily rainfall prediction

(2010) K. W. Chau et al.   JOURNAL OF HYDROINFORMATICS

A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

(2010) Heesung Yoon et al.   JOURNAL OF HYDROLOGY

Support vector machine based data processing algorithm for wear degree classification of slurry pump systems

(2010) Jian Qu et al.   MEASUREMENT

Predicting phosphorus concentrations in British rivers resulting from the introduction of improved phosphorus removal from sewage effluent

(2010) Michael J. Bowes et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Artificial neural network modeling of the river water quality—A case study

(2009) Kunwar P. Singh et al.   ECOLOGICAL MODELLING

Advantages of support vector machine in QSPR studies for predicting auto-ignition temperatures of organic compounds

(2008) Yong Pan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

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

Implication of environmental flows in river basin management

(2008) A. Das Gupta   PHYSICS AND CHEMISTRY OF THE EARTH

Parameter determination of support vector machine and feature selection using simulated annealing approach

(2007) Shih-Wei Lin et al.   APPLIED SOFT COMPUTING

Neural networks and genetic algorithm approach for nonlinear evaporation and evapotranspiration modeling

(2007) Sungwon Kim et al.   JOURNAL OF HYDROLOGY