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  5. New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic

New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic

av Oscar Castillo, Patricia Melin, Jonathan Amezcua

del av SpringerBriefs in Computational Intelligence-serien

del av SpringerBriefs in Applied Sciences and Technology-serien

New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic av Oscar Castillo
Om New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic

In this book a new model for data classification was developed. Some architectures were developed in order to work mainly with two datasets, an arrhythmia dataset (using ECG signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types of soil.

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  • Språk:
  • Engelska
  • ISBN:
  • 9783319737720
  • Format:
  • Häftad
  • Sidor:
  • 73
  • Utgiven:
  • 15. februari 2018
  • Utgåva:
  • 12018
  • Mått:
  • 155x235x0 mm.
  • Vikt:
  • 454 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 27. januari 2025
Förlängd ångerrätt till 31. januari 2025
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Om Oscar Castillo

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Beskrivning av New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic

In this book a new model for data classification was developed. Some architectures were developed in order to work mainly with two datasets, an arrhythmia dataset (using ECG signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types of soil.

Användarnas betyg av New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic



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