Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution

(2016) Ozgur Kisi et al.   JOURNAL OF HYDROLOGY

Multivariate adaptive regression splines and neural network models for prediction of pile drivability

(2016) Wengang Zhang et al.   Geoscience Frontiers

Artificial intelligence based models for stream-flow forecasting: 2000–2015

(2015) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

(2014) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

Efficient screening of enhanced oil recovery methods and predictive economic analysis

(2014) Arash Kamari et al.   NEURAL COMPUTING & APPLICATIONS

Predicting dynamic deformation of retaining structure by LSSVR-based time series method

(2014) Zhiwei Ji et al.   NEUROCOMPUTING

Predicting Monthly River Flows by Genetic Fuzzy Systems

(2014) Mustafa Erkan Turan et al.   WATER RESOURCES MANAGEMENT

ANN Based Sediment Prediction Model Utilizing Different Input Scenarios

(2014) Haitham Abdulmohsin Afan et al.   WATER RESOURCES MANAGEMENT

Hybrid approaches based on LSSVR model for container throughput forecasting: A comparative study

(2013) Gang Xie et al.   APPLIED SOFT COMPUTING

Intelligent model for prediction of CO2 – Reservoir oil minimum miscibility pressure

(2013) Amin Shokrollahi et al.   FUEL

Reservoir oil viscosity determination using a rigorous approach

(2013) Abdolhossein Hemmati-Sarapardeh et al.   FUEL

The combined use of wavelet transform and black box models in reservoir inflow modeling

(2013) Umut Okkan et al.   Journal of Hydrology and Hydromechanics

Prediction of monthly discharge volume by different artificial neural network algorithms in semi-arid regions

(2012) Mehdi Rezaeian-Zadeh et al.   Arabian Journal of Geosciences

Least squares support vector machine for modeling daily reference evapotranspiration

(2012) Ozgur Kisi   IRRIGATION SCIENCE

Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with limited data

(2012) Jan Adamowski et al.   JOURNAL OF HYDROINFORMATICS

Modeling discharge-suspended sediment relationship using least square support vector machine

(2012) Ozgur Kisi   JOURNAL OF HYDROLOGY

Forecasting performance of LS-SVM for nonlinear hydrological time series

(2012) Seok Hwan Hwang et al.   KSCE Journal of Civil Engineering

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

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

Prediction of daily crop reference evapotranspiration (ET0) values through a least-squares support vector machine model

(2011) Xianghong Guo et al.   HYDROLOGY RESEARCH

Applying least squares support vector machines to the airframe wing-box structural design cost estimation

(2010) S. Deng et al.   EXPERT SYSTEMS WITH APPLICATIONS

M5 model tree based modelling of reference evapotranspiration

(2009) Mahesh Pal et al.   HYDROLOGICAL PROCESSES

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

(2009) Wen-Chuan Wang et al.   JOURNAL OF HYDROLOGY

Performance of Multivariate Adaptive Regression Splines (MARS) in predicting runoff in mid-Himalayan micro-watersheds with limited data / Performances de régressions par splines multiples et adaptives (MARS) pour la prévision d'écoulement au sein de micro-bassins versants Himalayens d'altitudes intermédiaires avec peu de données

(2008) V. N. SHARDA et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES