13 research outputs found
Managing Interference Between Prior and Later Learning
A barrier to complex learning in artificial neural networks is catastrophic interference between later learning and earlier learning [French 1999]. There have been numerous attempts to address this issue [Robins 1995] but success has been limited as the complexity of the problem addressed by the network increases. A critical issue fo
Managing Interference Between Prior and Later Learning
A device algorithm which permanently records an expanding portfolio of similar conditions is described, along with an architecture in which this algorithm is used to avoid interference between prior and later learning