By the same authors

Improving the associative rule chaining architecture

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Publication details

Title of host publicationArtificial Neural Networks and Machine Learning - ICANN 2013
DatePublished - 2013
Number of pages8
Place of PublicationBerlin
EditorsV Mladenov, G Palm, B Appollini, P Koprinkova-Hristova, A Villa, N Kasabov
Volume8131 LNCS
Original languageEnglish
ISBN (Electronic)978-3-642-40728-4
ISBN (Print)978-3-642-40727-7

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


This paper describes improvements to the rule chaining architecture presented in [1]. The architecture uses distributed associative memories to allow the system to utilise memory eciently, and superimposed distributed representations in order to reduce the time complexity of a tree search to O(d), where d is the depth of the tree. This new work reduces the memory required by the architecture, and can also further reduce the time complexity.

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