Neural Networks: Computational Models and Applications
Neural Networks: Computational Models and Applications covers a wealth of important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their ap...
Clasificación: | Libro Electrónico |
---|---|
Autores principales: | Tang, Huajin (Autor), Tan, Kay Chen (Autor), Yi, Zhang (Autor) |
Autor Corporativo: | SpringerLink (Online service) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2007.
|
Edición: | 1st ed. 2007. |
Colección: | Studies in Computational Intelligence,
53 |
Temas: | |
Acceso en línea: | Texto Completo |
Ejemplares similares
-
Trends in Neural Computation
Publicado: (2007) -
The Sixth International Symposium on Neural Networks (ISNN 2009)
Publicado: (2009) -
Innovations in Neural Information Paradigms and Applications
Publicado: (2009) -
Speech, Audio, Image and Biomedical Signal Processing using Neural Networks
Publicado: (2008) -
Quantum Neural Computation
por: Ivancevic, Vladimir G., et al.
Publicado: (2010)