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Description
  • The presented neural network is composed of so-called homeostatic neurons. The basic idea of this research is to use the principle of homeostasis in the field of artificial neural networks. The learning process of the neuron is cmpared to the search of the homeostatic position of biological system.
  • The presented neural network is composed of so-called homeostatic neurons. The basic idea of this research is to use the principle of homeostasis in the field of artificial neural networks. The learning process of the neuron is cmpared to the search of the homeostatic position of biological system. (en)
Title
  • Artificial Neural network inspired by homeostasis in biological networks
  • Artificial Neural network inspired by homeostasis in biological networks (en)
skos:prefLabel
  • Artificial Neural network inspired by homeostasis in biological networks
  • Artificial Neural network inspired by homeostasis in biological networks (en)
skos:notation
  • RIV/68407700:21260/11:00184856!RIV12-MSM-21260___
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  • S
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  • 187137
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  • RIV/68407700:21260/11:00184856
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  • artificial; neural; network; homeostasis; stability; learning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [14A37D4C9706]
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  • Brno
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  • Brno
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  • Proceedings of 17th International Conference on Soft Computing (MENDEL 2011)
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  • Růžek, Martin
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http://linked.open.../riv/zahajeniAkce
issn
  • 1803-3814
number of pages
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  • Vysoké učení technické v Brně
https://schema.org/isbn
  • 978-80-214-4302-0
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  • 21260
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