An adaptive learning method for automated maintenance of a neural net model is provided. The neural net model is trained with an initial set of training data. Partial products of the trained model are stored. When new training data are available, the trained model is updated by using the stored partial products and the new training data to compute weights for the updated model.

 
Web www.patentalert.com

< Method and apparatus for determining one or more statistical estimators of customer behavior

< Artificial associative neuron synapse

> Synapse element with learning function and semiconductor integrated circuit device including the synapse element

> Method and system for assigning observations

~ 00282