Training methods and algorithms for recognition of nonlinearly distorted phase trajectories of dynamic systems
V. A. Kostenko, V. V. Shcherbinin · Optical Memory and Neural Networks · 2013
The paper considers a parametric set of algorithms for recognizing phase trajectory segments of dynamic systems and methods to construct them by using learning samples. The algorithms are more tolerant to nonlinear distortions of phase trajectories than other algorithms.