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ITI əməkdaslarının elmi isləri Elektron kitabxana Konfranslar İnformasiya Sistemi Qəzetlər UOT 004
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 Biblioqrafik təsvir
 Abdullayev , S.H. Structural and parametric synthesis of predictive RBF neural networks using artificial immune systems / S.H. Abdullayev // American journal of control systems and information technology. - 2014. - N: 1. - P. 20-30.
 Annotasiya
 In this paper we describe the use of clonal selection algorithm for the synthesis of radial-basis networks for solving the problem of short time time series prediction. The algorithm is applied to real data represented by the time series – the volume of monthly sales of tickets by American Airlines for 12 years. The combined methods of forecasting time series with controlled parameters is proposed that is based on synthesis of RBF networks using artificial immune systems. The results of the computing experiments showed the higher effectiveness of the proposed combined methods in comparison to the known approaches.
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