Simone Bassis & Anna Esposito 
Advances in Neural Networks: Computational and Theoretical Issues [PDF ebook] 

Soporte

This book collects research works that exploit neural networks and machine learning techniques from a multidisciplinary perspective. Subjects covered include theoretical, methodological and computational topics which are grouped together into chapters devoted to the discussion of novelties and innovations related to the field of Artificial Neural Networks as well as the use of neural networks for applications, pattern recognition, signal processing, and special topics such as the detection and recognition of multimodal emotional expressions and daily cognitive functions, and  bio-inspired memristor-based networks.

Providing insights into the latest research interest from a pool of international experts coming from different research fields, the volume becomes valuable to all those with any interest in a holistic approach to implement believable, autonomous, adaptive and context-aware Information Communication Technologies.

€96.29
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Invited Keynote Papers.- Proceedings Papers.

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Idioma Inglés ● Formato PDF ● Páginas 402 ● ISBN 9783319181646 ● Tamaño de archivo 30.2 MB ● Editor Simone Bassis & Anna Esposito ● Editorial Springer International Publishing ● Ciudad Cham ● País CH ● Publicado 2015 ● Descargable 24 meses ● Divisa EUR ● ID 4298601 ● Protección de copia DRM social

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