Simultaneous hydrological prediction at multiple gauging stations using the NARX network for Kemaman catchment, Terengganu, Malaysia
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[1] Alaa Ali. Nonlinear multivariate rainfall–stage model for large wetland systems , 2009 .
[2] Peter Tiño,et al. Learning long-term dependencies in NARX recurrent neural networks , 1996, IEEE Trans. Neural Networks.
[3] Indrajeet Chaubey,et al. Comparison of artificial neural network models for hydrologic predictions at multiple gauging stations in an agricultural watershed , 2008 .
[4] P. Coulibaly,et al. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting , 2012 .
[5] Guilherme De A. Barreto,et al. Long-term time series prediction with the NARX network: An empirical evaluation , 2008, Neurocomputing.
[6] Aman Mohammad Kalteh,et al. Rainfall-Runoff Modelling Using Artificial Neural Networks (ANNs) , 2007 .
[7] Gwo-Fong Lin,et al. A non-linear rainfall-runoff model using radial basis function network , 2004 .
[8] Fi-John Chang,et al. Modeling water quality in an urban river using hydrological factors--data driven approaches. , 2015, Journal of environmental management.
[9] Eugen Diaconescu,et al. The use of NARX neural networks to predict chaotic time series , 2008 .
[10] Antoni Wibowo,et al. Neural Networks Based Nonlinear Time Series Regression for Water Level Forecasting of Dungun River , 2012 .
[11] null null,et al. Artificial Neural Networks in Hydrology. II: Hydrologic Applications , 2000 .
[12] C. Lee Giles,et al. An analysis of noise in recurrent neural networks: convergence and generalization , 1996, IEEE Trans. Neural Networks.
[13] K. P. Sudheer,et al. Rainfall‐runoff modelling using artificial neural networks: comparison of network types , 2005 .
[14] A. Soldati,et al. Artificial neural network approach to flood forecasting in the River Arno , 2003 .
[15] T. Resdi,et al. Neural Network Hydrological Modeling for Kemaman Catchment , 2015 .
[16] Yen-Ming Chiang,et al. Comparison of static-feedforward and dynamic-feedback neural networks for rainfall -runoff modeling , 2004 .
[17] U. Okkan. Application of Levenberg-Marquardt Optimization Algorithm Based Multilayer Neural Networks for Hydrological Time Series Modeling , 2011 .
[18] Z. Yu. HYDROLOGY | Modeling and Prediction , 2002 .
[19] Martijn J. Booij,et al. Validation of an ANN Flow Prediction Model Using a Multt-Station Cluster Analysis , 2012 .
[20] Hang Xie,et al. Time series prediction based on NARX neural networks: An advanced approach , 2009, 2009 International Conference on Machine Learning and Cybernetics.
[21] K. Chau,et al. Predicting monthly streamflow using data‐driven models coupled with data‐preprocessing techniques , 2009 .
[22] C. Lee Giles,et al. An experimental comparison of recurrent neural networks , 1994, NIPS.
[23] Li-Chiu Chang,et al. Online multistep-ahead inundation depth forecasts by recurrent NARX networks , 2012 .
[24] Chih-Chiang Wei,et al. Decision Tree-Based Classifier Combined with Neural-Based Predictor for Water-Stage Forecasts in a River Basin During Typhoons: A Case Study in Taiwan. , 2012, Environmental engineering science.
[25] Paresh Deka,et al. Fuzzy Neural Network Model for Hydrologic Flow Routing , 2005 .
[26] Robert J. Abrahart,et al. Neural network modelling of non-linear hydrological relationships , 2007 .
[27] Wei Koon Lee,et al. Neural Network Approach to Coastal High and Low Water Level Prediction , 2014 .
[28] V. Singh,et al. Mathematical Modeling of Watershed Hydrology , 2002 .
[29] Hafizan Juahir,et al. Coastal Flood Phenomenon in Terengganu, Malaysia: Special Reference to Dungun , 2007 .
[30] H. Mohd-Lokman,et al. Mangrove Mapping Using Landsat Imagery and Aerial Photographs: Kemaman District, Terengganu, Malaysia , 2002 .
[31] N. Null. Artificial Neural Networks in Hydrology. I: Preliminary Concepts , 2000 .
[32] P. Castro,et al. Multiple data fusion for rainfall estimation using a NARX-based recurrent neural network – the development of the REIINN model , 2014 .
[33] K. P. Sudheer,et al. Knowledge Extraction from Trained Neural Network River Flow Models , 2005 .
[34] Francesco Corona,et al. Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map , 2015, Neurocomputing.
[35] Jy-Shing Wu,et al. Artificial Neural Networks for Forecasting Watershed Runoff and Stream Flows , 2005 .
[36] Mahmoud Fakhr,et al. Steel Plates Faults Diagnosis with Data Mining Models , 2012 .
[37] R Govindaraju,et al. ARTIFICIAL NEURAL NETWORKS IN HYDROLOGY: II, HYDROLOGIC APPLICATIONS , 2000 .
[38] Hikmet Kerem Cigizoglu,et al. Application of Generalized Regression Neural Networks to Intermittent Flow Forecasting and Estimation , 2005 .
[39] Vahid Nourani,et al. A geomorphology-based ANFIS model for multi-station modeling of rainfall–runoff process , 2013 .
[40] Chandranath Chatterjee,et al. Uncertainty assessment and ensemble flood forecasting using bootstrap based artificial neural networks (BANNs) , 2010 .