Improving the forecasts of extreme streamflow by support vector regression with the data extracted by self-organizing map

An RBF network with a two-step learning algorithm for developing a reservoir inflow forecasting model

(2011) Gwo-Fong Lin et al.   JOURNAL OF HYDROLOGY

Effective typhoon characteristics and their effects on hourly reservoir inflow forecasting

(2010) Gwo-Fong Lin et al.   ADVANCES IN WATER RESOURCES

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

(2010) Holger R. Maier et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Improving flood forecasting in Bangladesh using an artificial neural network

(2010) A. S. Islam   JOURNAL OF HYDROINFORMATICS

Daily river flow forecasting using wavelet ANN hybrid models

(2010) Niranjan Pramanik et al.   JOURNAL OF HYDROINFORMATICS

Application of integrated back-propagation network and self organizing map for flood forecasting

(2009) Chao-Chung Yang et al.   HYDROLOGICAL PROCESSES

Potential of support vector regression for prediction of monthly streamflow using endogenous property

(2009) Rajib Maity et al.   HYDROLOGICAL PROCESSES

A hybrid neural network model for typhoon-rainfall forecasting

(2009) Gwo-Fong Lin et al.   JOURNAL OF HYDROLOGY

Methods to improve neural network performance in daily flows prediction

(2009) C.L. Wu et al.   JOURNAL OF HYDROLOGY

Support vector machine-based models for hourly reservoir inflow forecasting during typhoon-warning periods

(2009) Gwo-Fong Lin et al.   JOURNAL OF HYDROLOGY

Using typhoon characteristics to improve the long lead-time flood forecasting of a small watershed

(2009) Gwo-Fong Lin et al.   JOURNAL OF HYDROLOGY

Effective forecasting of hourly typhoon rainfall using support vector machines

(2009) Gwo-Fong Lin et al.   WATER RESOURCES RESEARCH

Using oceanic-atmospheric oscillations for long lead time streamflow forecasting

(2009) Ajay Kalra et al.   WATER RESOURCES RESEARCH

Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques

(2009) C. L. Wu et al.   WATER RESOURCES RESEARCH

River stage prediction based on a distributed support vector regression

(2008) C.L. Wu et al.   JOURNAL OF HYDROLOGY

A systematic approach to the input determination for neural network rainfall–runoff models

(2007) Gwo‐Fong Lin et al.   HYDROLOGICAL PROCESSES