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An Enhanced Artificial Neural Network for Air Temperature Prediction

Finding synchronizing sequences for the finite automata is a very important problem in many practical applications (part orienters in industry, reset problem in biocomputing theory, network issues etc). Problem of finding the shortest synchronizing sequence is NP-hard, so polynomial algorithms probably can work only as heuristic ones. In this paper we propose two versions of polynomial algorithms which work better than well-known Eppstein's Greedy and Cycle algorithms. Keywords—Synchronizing words, reset sequences, Cerný Conjecture.