Developing a fuzzy neural network-based support vector regression (FNN-SVR) for regionalizing nitrate concentration in groundwater

Combination of support vector regression and artificial neural networks for prediction of critical heat flux

(2013) B.T. Jiang et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Water Quality Zoning Using Probabilistic Support Vector Machines and Self-Organizing Maps

(2013) Mohammad Reza Nikoo et al.   WATER RESOURCES MANAGEMENT

Monthly river flow forecasting using artificial neural network and support vector regression models coupled with wavelet transform

(2012) Aman Mohammad Kalteh   COMPUTERS & GEOSCIENCES

Multilayer perceptrons and radial basis function neural network methods for the solution of differential equations: A survey

(2011) Manoj Kumar et al.   COMPUTERS & MATHEMATICS WITH APPLICATIONS

The complex fuzzy system forecasting model based on triangular fuzzy robust wavelet ν-support vector machine

(2011) Qi Wu   EXPERT SYSTEMS WITH APPLICATIONS

Fuzzy neural networks for water level and discharge forecasting with uncertainty

(2010) Stefano Alvisi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

A fuzzy support vector regression model for business cycle predictions

(2010) Kuo-Ping Lin et al.   EXPERT SYSTEMS WITH APPLICATIONS

Comparison of spatial interpolation methods for estimating heavy metals in sediments of Caspian Sea

(2010) S.M. Kazemi et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

Comparative Study of SVMs and ANNs in Aquifer Water Level Prediction

(2009) Mohsen Behzad et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Development of reservoir operation policies considering variable agricultural water demands

(2008) Banafsheh Zahraie et al.   EXPERT SYSTEMS WITH APPLICATIONS

TS-fuzzy system-based support vector regression

(2008) Chia-Feng Juang et al.   FUZZY SETS AND SYSTEMS

Fuzzy Regression Analysis by Support Vector Learning Approach

(2008) Pei-Yi Hao et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Modelling groundwater levels in an urban coastal aquifer using artificial neural networks

(2007) B. Krishna et al.   HYDROLOGICAL PROCESSES

Extended support vector interval regression networks for interval input–output data

(2007) Chen-Chia Chuang   INFORMATION SCIENCES