Accuracy Enhancement for Forecasting Water Levels of Reservoirs and River Streams Using a Multiple-Input-Pattern Fuzzification Approach

Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia

(2012) Sepideh Karimi et al.   COMPUTERS & GEOSCIENCES

Neural network-particle swarm modeling to predict thermal properties

(2012) Juan A. Lazzús   MATHEMATICAL AND COMPUTER MODELLING

River Flow Estimation and Forecasting by Using Two Different Adaptive Neuro-Fuzzy Approaches

(2012) Hadi Sanikhani et al.   WATER RESOURCES MANAGEMENT

Radial basis function neural networks for reliably forecasting rainfall

(2012) Amr H. El Shafie et al.   Journal of Water and Climate Change

A new ARIMA-based neuro-fuzzy approach and swarm intelligence for time series forecasting

(2011) Chunshien Li et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Daily water level forecasting using adaptive neuro-fuzzy interface system with different scenarios: Klang Gate, Malaysia

(2011) N. Valizadeh   International Journal of Physical Sciences

Evapotranspiration estimation by two different neuro-fuzzy inference systems

(2011) Murat Cobaner   JOURNAL OF HYDROLOGY

Drought forecasting using an aggregated drought index and artificial neural network

(2011) S. Barua et al.   Journal of Water and Climate Change

Sea water level forecasting using genetic programming and comparing the performance with Artificial Neural Networks

(2010) Mohammad Ali Ghorbani et al.   COMPUTERS & GEOSCIENCES

Adaptive neuro fuzzy inference system for classification of water quality status

(2010) Han Yan et al.   JOURNAL OF ENVIRONMENTAL SCIENCES

Evaluation of rainfall and discharge inputs used by Adaptive Network-based Fuzzy Inference Systems (ANFIS) in rainfall–runoff modeling

(2010) Amin Talei et al.   JOURNAL OF HYDROLOGY

Application of artificial neural network in estimating monthly time series reference evapotranspiration with minimum and maximum temperatures

(2010) Heerbod Jahanbani et al.   Paddy and Water Environment

A new library to combine artificial neural networks and support vector machines with statistics and a database engine for application in environmental modeling

(2009) Ralf Wieland et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Structural optimisation and input selection of an artificial neural network for river level prediction

(2008) Paul Leahy et al.   JOURNAL OF HYDROLOGY

Modelling level change in lakes using neuro-fuzzy and artificial neural networks

(2008) Alpaslan Yarar et al.   JOURNAL OF HYDROLOGY