APPLICATION OF GENETIC PROGRAMMING, FINITE STATE MACHINES AND NEURAL NETS FOR CONSTRUCTION OF CONTROL SYSTEM FOR UNNMANED AIRCRAFT
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Application of genetic algorithms for unmanned aircraft control system construction is considered in this paper. Control system contains a finite state machine and an artificial neural net. Neural net converts real input variables into finite state machine boolean input variables. Finite state machine generates input actions. Genetic algorithms are used for optimization of such model.
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