Exploring neural networks with C♯ /

The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations-making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical. Exploring Neural Networks with C♯ pr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Tadeusiewicz, Ryszard (Autor), Chaki, Rituparna (Autor), Chaki, Nabendu (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton, FL : CRC Press, [2015]
Temas:
Neural networks (Computer science)
C# (Computer program language)
Neural Networks, Computer
Réseaux neuronaux (Informatique)
C# (Langage de programmation)
COMPUTERS > General.
C♯ (Computer program language)
Electronic books.
Problems and exercises.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 1. Introduction to natural and artificial neural networks
  • 2. Neural net structure
  • 3. Teaching networks
  • 4. Functioning of simplest networks
  • 5. Teaching simple linear one-layer neural networks
  • 6. Nonlinear networks
  • 7. Backpropagation
  • 8. Forms of neural network learning
  • 9. Self-learning neural networks
  • 10. Self-organizing neural networks
  • 11. Recurrent networks.

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