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  • In this paper we would like to introduce the pattern recognition approach based on neural networks. Patterns are an effective way to describe system?s behaviours because we do not need to cover it every moment but we only search for certain patterns that appear from time to time. There are many ways how to recognize a pattern. In this study we use neural networks to do the job. Based on the pattern we recognize, it is possible to expect system's behaviour and adapt our acting desired way. There are many problems related to our research so in this paper we will concentrate on pattern recognition part mainly and present our current pattern recognition utility written in Java language and based on neural networks.
  • In this paper we would like to introduce the pattern recognition approach based on neural networks. Patterns are an effective way to describe system?s behaviours because we do not need to cover it every moment but we only search for certain patterns that appear from time to time. There are many ways how to recognize a pattern. In this study we use neural networks to do the job. Based on the pattern we recognize, it is possible to expect system's behaviour and adapt our acting desired way. There are many problems related to our research so in this paper we will concentrate on pattern recognition part mainly and present our current pattern recognition utility written in Java language and based on neural networks. (en)
Title
  • Pattern recognition and system adaptation
  • Pattern recognition and system adaptation (en)
skos:prefLabel
  • Pattern recognition and system adaptation
  • Pattern recognition and system adaptation (en)
skos:notation
  • RIV/61988987:17310/11:A11010RR!RIV11-MSM-17310___
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  • 219735
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  • RIV/61988987:17310/11:A11010RR
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  • Pattern recognition; adaptation; prediction; neural networks; relative model; absolute model (en)
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  • [F5A378B056DF]
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  • Bratislava
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  • Pattern recognition and system adaptation
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  • Volná, Eva
  • KOCIAN, Václav
  • Kotyrba, Martin
  • JANOŠEK, Michal
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • Slovenská technická univerzita v Bratislave
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  • 978-80-89313-51-8
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  • 17310
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