Spacecraft Solar Arrays Degradation Forecasting with Evolutionary Designed ANN-based Predictors
Maria Semenkina, Shakhnaz Akhmedova, Eugene Stanislavovich Semenkin, Ivan Ryzhikov · 2014
The problem of forecasting the degradation of spacecraft solar arrays is considered. The application of ANN-based predictors is proposed and their automated design with self-adaptive evolutionary and bio-inspired algorithms is suggested. The adaptation of evolutionary algorithms is implemented on the base of the algorithms' self-configuration. The island model for the bio-inspired algorithms cooperation is used. The performance of four developed algorithms for automated design of ANN-based predictors is estimated on real-world data and the most perspective approach is determined.