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# pre...
| Otros Autores: | , , , , , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, Florida :
CRC Press
2015.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628739406719 |
Tabla de Contenidos:
- Front Cover; Contents; Foreword; Preface; Acknowledgments; Chapter 1: Introduction to Natural and Artificial Neural Networks; Chapter 2: Neural Net Structure; Chapter 3: Teaching Networks; Chapter 4: Functioning of Simplest Networks; Chapter 5: Teaching Simple Linear One-Layer Neural Networks; Chapter 6: Nonlinear Networks; Chapter 7: Backpropagation; Chapter 8: Forms of Neural Network Learning; Chapter 9: Self-Learning Neural Networks; Chapter 10: Self-Organizing Neural Networks; Chapter 11: Recurrent Networks; Back Cover
