Advances in Neural Networks

Computational Intelligence for ICT
1. Auflage 2016
ISBN: 978-3-319-33746-3
Verlag: Springer International Publishing

Buch, Englisch, Band 54, 539 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 9516 g

Reihe: Smart Innovation, Systems and Technologies

This carefully

edited book is putting emphasis on computational and artificial intelligent

methods for learning and their relative applications in robotics, embedded

systems, and ICT interfaces for psychological and neurological diseases. The

book is a follow-up of the scientific workshop on Neural Networks (WIRN 2015)

held in Vietri sul Mare, Italy, from the 20th to the 22nd of May 2015. The

workshop, at its 27th edition became a traditional scientific event that

brought together scientists from many countries, and several scientific

disciplines. Each chapter is an extended version of the original contribution

presented at the workshop, and together with the reviewers’ peer revisions it

also benefits from the live discussion during the presentation.

The content of book is organized in the following sections.

1. Introduction,

2. Machine Learning,

3. Artificial Neural Networks: Algorithms and models,

4. Intelligent Cyberphysical and Embedded System,

5. Computational Intelligence Methods for Biomedical ICT in Neurological

Diseases,

6. Neural Networks-Based Approaches to Industrial Processes,

7. Reconfigurable ModularAdaptive Smart Robotic Systems for

Optoelectronics

Industry: The White'R Instantiation

This book is unique in proposing a holistic and multidisciplinary

approach to implement autonomous, and complex Human Computer Interfaces.

Zielgruppe

Research

Autoren/Hrsg.

Bassis, Simone

Pasero, Eros

Esposito, Anna

Morabito, Francesco Carlo

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

I Introductory chapter.- II Machine Learning.- III Articial Neural Networks: Algorithms and Models.- IV Computational Intelligence Methods for BiomedicalICT in Neurological Diseases.- V Neural Networks-based Approaches to IndustrialProcesses.- VI Intelligent Cyber-physical and Embedded Systems.- VII Recongurable- Modular- Adaptive- smart RoboticSystems for Optoelectronics Industry: The White'RInstantiation