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Four-layer spherical self-organized maps neural networks trained by recirculation to follow the phase evolution of a nearly four-year rainfall signal.
(2019-01)This work is intended to organize a big set of time series of rainfall reanalysis built on the Fourier harmonic that corresponds to the 4.8year cycle of variability. To do that a self-organized map is implemented in four ... -
Four-layer spherical self-organized maps neural networks trained by recirculation to simulate perception and abstraction activity : application to patterns of rainfall global reanalysis
(2018-07)Abstract This work is intended to organize a big set of time series. To do that a self-organized map is implemented in four spherical layers trainded by recirculation. This way tries to simulate aspects of perceotion and ...