Large memory storage and retrieval neural network: Difference between revisions

Revision as of 15:32, 25 August 2019

Revision as of 22:39, 25 August 2019

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{{primary sources|date=August 2019}}

'''Large memory storage and retrieval neural networks''' (LAMSTAR)<ref name="book2013">{{cite book|url={{google books |plainurl=y |id=W6W6CgAAQBAJ&pg=PP1}}|title=Principles of Artificial Neural Networks|last=Graupe|first=Daniel|publisher=World Scientific|year=2013|isbn=978-981-4522-74-8|___location=|pages=1–|ref=harv}}</ref><ref name="GrPatent">{{Patent|US|5920852 A|D. Graupe," Large memory storage and retrieval (LAMSTAR) network, April 1996}}</ref> are fast deep learning neural networks of many layers that can use many filters simultaneously. These filters may be nonlinear, stochastic, logic, [[non-stationary]], or even non-analytical. They are biologically motivated and learn continuously.