Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences
Neural networks for event extraction from time series: a back propagation algorithm approach
Future Generation Computer Systems
On the construction of a nonlinear recursive predictor
Journal of Computational and Applied Mathematics - Special issue: International conference on mathematics and its application
Hybrid neural network models for hydrologic time series forecasting
Applied Soft Computing
Environmental Modelling & Software
A neural network ensemble method with jittered training data for time series forecasting
Information Sciences: an International Journal
International Journal of Remote Sensing
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Artificial Neural Networks in Urban Runoff Forecast
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Generalized neuron: Feedforward and recurrent architectures
Neural Networks
An artificial neural network (p,d,q) model for timeseries forecasting
Expert Systems with Applications: An International Journal
Gaussian process for long-term time-series forecasting
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Neural networks for event extraction from time series: a back propagation algorithm approach
Future Generation Computer Systems
On the construction of a nonlinear recursive predictor
Journal of Computational and Applied Mathematics
Considering correlation between variables to improve spatiotemporal forecasting
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
A co-training approach for time series prediction with missing data
MCS'07 Proceedings of the 7th international conference on Multiple classifier systems
Performance prediction of a parallel Monte Carlo application: a neural network approach
EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing
CIMMACS'05 Proceedings of the 4th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
An intelligent system for dynamic system state forecasting
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
A data-model-fusion prognostic framework for dynamic system state forecasting
Engineering Applications of Artificial Intelligence
FIDs classifier for artificial intelligence and its application
ICA3PP'12 Proceedings of the 12th international conference on Algorithms and Architectures for Parallel Processing - Volume Part II
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Estimating the flows of rivers can have significant economic impact, as this can help in agricultural water management and in protection from water shortages and possible flood damage. The first goal of the paper is to apply neural networks to the problem of forecasting the flow of the River Nile in Egypt. The second goal of the paper is to utilize time series as a benchmark to compare between several neural-network forecasting methods. We compare four different methods to preprocess the inputs and outputs, including a novel method proposed here based on discrete Fourier series. We also compare three different methods for the multistep ahead forecast problem: the direct method, the recursive method, and the recursive method trained using a backpropagation through time scheme. We also include a theoretical comparison between these three methods. The final comparison is between different methods to perform a longer horizon forecast, and that includes ways to partition the problem into several subproblems of forecasting K steps ahead