A simulation study of artificial neural networks for nonlinear time-series forecasting

The accuracy of a procedural approach to specifying feedforward neural networks for forecasting

Computers and Operations Research

A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates

Computers and Operations Research

Forecasting nonlinear time series with neural network sieve bootstrap

Computational Statistics & Data Analysis

A neural network ensemble method with jittered training data for time series forecasting

Information Sciences: an International Journal

The relationship between market sentiment and equity premium: an artificial neural network analysis

International Journal of Electronic Finance

Predictive modeling for wastewater applications: Linear and nonlinear approaches

Environmental Modelling & Software

Evaluating the process of a genetic algorithm to improve the back-propagation network: A Monte Carlo study

Expert Systems with Applications: An International Journal

Comparison of direct and iterative artificial neural network forecast approaches in multi-periodic time series forecasting

Expert Systems with Applications: An International Journal

Design of experiments on neural network's training for nonlinear time series forecasting

Neurocomputing

HYBRID GREY RELATIONAL ARTIFICIAL NEURAL NETWORK AND AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODEL FOR FORECASTING TIME-SERIES DATA

Applied Artificial Intelligence

Experiments and Reference Models in Training Neural Networks for Short-Term Wind Power Forecasting in Electricity Markets

IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence

Input-variable specification for neural networks: an analysis of forecasting low and high time series frequency

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

OPELM and OPKNN in long-term prediction of time series using projected input data

Neurocomputing

Approximate k-NN delta test minimization method using genetic algorithms: Application to time series

Neurocomputing

Accidental wow defect evaluation using sinusoidal analysis enhanced by artificial neural networks

RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology

Hierarchical neural networks based prediction and control of dynamic reconfiguration for multilevel embedded systems

Journal of Systems Architecture: the EUROMICRO Journal

An improved demand forecasting method to reduce bullwhip effect in supply chains

Expert Systems with Applications: An International Journal

Correcting and combining time series forecasters

Neural Networks

Neural network ensemble operators for time series forecasting

Expert Systems with Applications: An International Journal