precipitation patterns are influenced by many factors, such as global atmospheric circulations to name but one. precipitation patterns in iran have always had great fluctuations even in a smaller scale like the alburz mountain range. the present research has tried to find the relationship between global atmospheric patterns and the pervasive precipitation ones in alburz. for doing so, 17 climat...

The diÆculty of predicting time series generated by chaotic systems has motivated the development of many time series prediction algorithms. Among these local models have emerged as one of the most accurate methods. A weakness of local models is their sensitivity to the choice of user selected parameters such as the size of the neighborhood, the embedding dimension, and the distance metric. Thi...

This paper proposes a Genetic Programming-Based Modeling (GPM) algorithm on chaotic time series. GP is used here to search for appropriate model structures in function space, and the Particle Swarm Optimization (PSO) algorithm is used for Nonlinear Parameter Estimation (NPE) of dynamic model structures. In addition, GPM integrates the results of Nonlinear Time Series Analysis (NTSA) to adjust t...

The application of fuzzy time series models to forecasting has been drawing a great amount of attention. To provide a more sophisticated model to handle real world problems thus becomes important. This study intends to model fuzzy time series with multiple observations at a single time point. The proposed model shows how to fuzzify multiple observations into a fuzzy set. Neural networks are app...