Time series forecasting models on the base of modified clonal selection algorithm

Forecasting models on the base of modified clonal selection algorithm, providing the forecast accuracy increase by means of analytical dependences' formation using antibodies, describing known values of time series are offered. Procedure antibodies' correct coding on the base of binary trees is developed. Models' program realization is executed in MATLAB.