Event-threading algorithm
Algorithm handles input data using new principles and methods based on parallel algorithms, event-driven model [4] and new approaches of ANN training and synthesis of trained network. Using allows decreasing the number of operations from O(n) (classical models) down to O(ln n) (etANN mode). Posterior synthesis of trained decreases the number of connections between neurons by deleting insignificant relations, leading to a simpler system.
