Advances in Neural Networks: Computational and Theoretical Issues

Name: Advances in Neural Networks: Computational and Theoretical Issues
Brand: Springer
Availability: OutOfStock
Rating: 5 (1 reviews)

By Simone Bassis

0 - Default Title

Description

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.

Product details

Edition:

1

Number of Pages:

412

Release Date:

2015-06-25

Publication Date:

2015-06-25

Publisher:

Springer

Languages:

Original: English

ISBN10:

3319181637

ISBN13:

9783319181639

GPSR Manufacturer Reference:

[email protected]

Weight:

781 g

Height:

160 cm

Width:

241 cm

Thickness:

28 cm

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