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Fuzzy Cellular Neural Networks

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Soft Computing

Part of the book series: Advanced Textbooks in Control and Signal Processing ((C&SP))

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Abstract

In this, as in the previous chapter, we will deal with information processing systems that were originally inspired by the concepts underlying soft computing. The integration of fuzzy logic concepts in a widely spread architecture such as that of cellular neural networks in fact led to the birth of fuzzy CNNs.

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Authors and Affiliations

  1. Dipartimento Elettrico Elettronico e Sistemistico, Università di Catania, Viale A. Doria 6, 95125, Catania, Italy

    Professor Luigi Fortuna, Professor Giuseppe Nunnari, Professor M. Gabriella Xibilia & Doctor Riccardo Caponetto

  2. STMicroelectronics, Stradale Primosole 50, 95121, Catania, Italy

    Doctor Gianguido Rizzotto & Doctor Mario Lavorgna

Authors
  1. Professor Luigi Fortuna
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  2. Doctor Gianguido Rizzotto
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  3. Doctor Mario Lavorgna
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  4. Professor Giuseppe Nunnari
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  5. Professor M. Gabriella Xibilia
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  6. Doctor Riccardo Caponetto
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© 2001 Springer-Verlag London

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Fortuna, L., Rizzotto, G., Lavorgna, M., Nunnari, G., Xibilia, M.G., Caponetto, R. (2001). Fuzzy Cellular Neural Networks. In: Soft Computing. Advanced Textbooks in Control and Signal Processing. Springer, London. https://doi.org/10.1007/978-1-4471-0357-8_10

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  • DOI: https://doi.org/10.1007/978-1-4471-0357-8_10

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-308-9

  • Online ISBN: 978-1-4471-0357-8

  • eBook Packages: Springer Book Archive

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