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  • Associative memories represent a model of artificial neural networks applicable to the information storage and retrieval. However, the performance of traditional associative memories is very sensitive to the number of stored patterns and their mutual similarities. In order to avoid limitations imposed by processing larger amounts of mutually correlated patterns, we have developed the so-called Hierarchical Associative Memory (HAM) model. This paper is focused on the time complexity and memory complexity of the HAM model. The time complexity of the HAM model is derived. The memory complexity is analyzed and the theoretical results are compared with the experimental results.
  • Associative memories represent a model of artificial neural networks applicable to the information storage and retrieval. However, the performance of traditional associative memories is very sensitive to the number of stored patterns and their mutual similarities. In order to avoid limitations imposed by processing larger amounts of mutually correlated patterns, we have developed the so-called Hierarchical Associative Memory (HAM) model. This paper is focused on the time complexity and memory complexity of the HAM model. The time complexity of the HAM model is derived. The memory complexity is analyzed and the theoretical results are compared with the experimental results. (en)
Title
  • On the Complexity of Hierarchical Associative Memories
  • On the Complexity of Hierarchical Associative Memories (en)
skos:prefLabel
  • On the Complexity of Hierarchical Associative Memories
  • On the Complexity of Hierarchical Associative Memories (en)
skos:notation
  • RIV/00216208:11320/09:00207425!RIV10-MSM-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021620838)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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  • 331495
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/09:00207425
http://linked.open...riv/jazykVysledku
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  • Complexity; Hierarchical; Associative; Memories (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [09CBB84B723F]
http://linked.open...v/mistoKonaniAkce
  • New York, NY, USA
http://linked.open...i/riv/mistoVydani
  • New York, NY, USA
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  • 24th Annual ACM Symposium on Applied Computing
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http://linked.open...cetTvurcuVysledku
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  • Štanclová, Jana
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • ACM
https://schema.org/isbn
  • 978-1-60558-166-8
http://localhost/t...ganizacniJednotka
  • 11320
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