TASOM: The time adaptive self-organizing map
H Shah-Hosseini, R Safabakhsh - … International Conference on …, 2000 - ieeexplore.ieee.org
The time-decreasing learning rate and neighborhood function of the basic SOM (self-
organizing map) algorithm reduce its capability to adapt weights for a varied environment. In
dealing with non-stationary input distributions and changing environments, we propose a
modified SOM algorithm called" time adaptive SOM", or TASOM, that automatically adjusts
the learning rate and neighborhood size of each neuron independently. The proposed
TASOM is tested with stationary environments and its performance is compared with that of …
organizing map) algorithm reduce its capability to adapt weights for a varied environment. In
dealing with non-stationary input distributions and changing environments, we propose a
modified SOM algorithm called" time adaptive SOM", or TASOM, that automatically adjusts
the learning rate and neighborhood size of each neuron independently. The proposed
TASOM is tested with stationary environments and its performance is compared with that of …
TASOM: The Time Adaptive Self-Organizing Map
II Shah-ilossoini - ieeexplore.ieee.org
Abstract 'Ike time—decreasing learning rate and, glzho/, oad f/inc/ion q [the basic SO1
(Se/fOrganizing A [ap algorithm reduce its capahilitV to adapt weights for a varied
enviroflhiwnt, In dealing iath non—stationwy input dir fribuijons and changing eln'ironmeiJtS,
i'e propose a inodijieci XCIV algorithm called Time Adaptn'e S'OAI'or LiSOM, that
automalicallV ai Us/s learning rate and neighborhood size of each neuron independently.
The proposed 7ASOM is tested with stationary enuionlnentr and its perJrnIance is compared …
(Se/fOrganizing A [ap algorithm reduce its capahilitV to adapt weights for a varied
enviroflhiwnt, In dealing iath non—stationwy input dir fribuijons and changing eln'ironmeiJtS,
i'e propose a inodijieci XCIV algorithm called Time Adaptn'e S'OAI'or LiSOM, that
automalicallV ai Us/s learning rate and neighborhood size of each neuron independently.
The proposed 7ASOM is tested with stationary enuionlnentr and its perJrnIance is compared …
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