Rule-based forecasting: development and validation of an expert systems approach to combining time series extrapolations

A modal symbolic classifier for selecting time series models

Pattern Recognition Letters

Image compression based on a family of stochastic models

Signal Processing

Forecasting Thailand's rice export: Statistical techniques vs. artificial neural networks

Computers and Industrial Engineering

Alleviating the bullwhip effect in supply chain management using the multi-agent approach: an empirical study

International Journal of Computer Applications in Technology

Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series

Neurocomputing

A hybrid statistical genetic-based demand forecasting expert system

Expert Systems with Applications: An International Journal

Selecting and ranking time series models using the NOEMON approach

ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing

Meta-learning for time series forecasting and forecast combination

Neurocomputing

A collaborative demand forecasting process with event-based fuzzy judgements

Computers and Industrial Engineering

Improved forecasting considering dynamic properties within the time series of customer demands

GAVTASC'11 Proceedings of the 11th WSEAS international conference on Signal processing, computational geometry and artificial vision, and Proceedings of the 11th WSEAS international conference on Systems theory and scientific computation

Short-term sales forecasting with change-point evaluation and pattern matching algorithms

Expert Systems with Applications: An International Journal

Using machine learning techniques to combine forecasting methods

AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence

Forecasting model selection through out-of-sample rolling horizon weighted errors

Expert Systems with Applications: An International Journal

A grey approach for forecasting in a supply chain during intermittentdisruptions

Engineering Applications of Artificial Intelligence

Models of performance of time series forecasters

Neurocomputing

A New Approach to Forecasting Container Throughput of Guangzhou Port with Domain Knowledge

International Journal of Knowledge and Systems Science

An automatic method for construction of ensembles to time series prediction

International Journal of Hybrid Intelligent Systems