Computation of the distributed associative memory and numerical stability of the generalized inverse matrix

S. Mohideen, V. Cherkassky, H. Wechsler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Summary form only given. A novel recursive algorithm to calculate the recursive generalized inverse (RGI) needed to learn some distributed associative memory (DAM) is introduced. The authors show that this new RGI algorithm provides better numerical stability when compared with Greville's algorithm. The RGI has been applied successfully to fault-tolerant information retrieval tasks.

Original languageEnglish (US)
Title of host publicationIJCNN Int Jt Conf Neural Network
Editors Anon
PublisherPubl by IEEE
Number of pages1
StatePublished - Dec 1 1989
EventIJCNN International Joint Conference on Neural Networks - Washington, DC, USA
Duration: Jun 18 1989Jun 22 1989

Other

OtherIJCNN International Joint Conference on Neural Networks
CityWashington, DC, USA
Period6/18/896/22/89

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