Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only. Typical applications include image processing, analyzing 3D surfaces, solving partial differential equations, reducing non-visual problems to geometric maps, modelling biological vision and other sensory-motor organs.

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dbpprop:abstract
  • Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only. Typical applications include image processing, analyzing 3D surfaces, solving partial differential equations, reducing non-visual problems to geometric maps, modelling biological vision and other sensory-motor organs.
  • Hücresel Yapay Sinir Ağları (HYSA), hücrelerden meydana gelmiş ve her bir hücre en yakınındaki hücre ile etkileşim ve komşuluk ilişkisi içerisinde bulunan dinamik Yapay Sinir Ağ modelidir. HYSA, ilk olarak 1988 yılında Leon Chua ve Lin Yang tarafından ortaya atılmıştır.
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  • Cellular neural networks (CNN) are a parallel computing paradigm similar to neural networks, with the difference that communication is allowed between neighbouring units only. Typical applications include image processing, analyzing 3D surfaces, solving partial differential equations, reducing non-visual problems to geometric maps, modelling biological vision and other sensory-motor organs.
  • Hücresel Yapay Sinir Ağları (HYSA), hücrelerden meydana gelmiş ve her bir hücre en yakınındaki hücre ile etkileşim ve komşuluk ilişkisi içerisinde bulunan dinamik Yapay Sinir Ağ modelidir. HYSA, ilk olarak 1988 yılında Leon Chua ve Lin Yang tarafından ortaya atılmıştır.
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  • Cellular neural network
  • Hücresel Yapay Sinir Ağları
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