Meteorological Time Series Modeling Using an Adaptive Gene Expression Programming

Abstract: The precipitations are characterized by important spatial and temporal variation. Model determination for such series is of high importance for hydrological purposes (e.g. weather forecasting, agriculture, flood areas, administrative planning), even if discovering patterns in such series is a very difficult problem. The objective of the current study is to describe the use of an adaptive evolutionary technique that give promising results for the development of non-linear time series models. Key-Words: time series modeling, gene expression programming, adaptive algorithm, precipitation