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نمایش تعداد 1-3 از 3
A New Sparse Learning Machine
سال: 2016
خلاصه:
Many algorithms have been proposed so far for pruning and sparse approximation of feedforward neural networks with random weights in order to obtain compact networks which are fast and robust on various datasets. One ...
Universal Approximation by Using the Correntropy Objective Function
سال: 2017
خلاصه:
Several objective functions have been proposed in the
literature to adjust the input parameters of a node in constructive
networks. Furthermore, many researchers have focused on the universal
approximation ...