Post Classifieds
Xavier University Newswire Textbooks > Advances in Neural Networks

Advances in Neural Networks




Authors:Simone Bassis, Anna Esposito, Francesco Carlo Morabito, Eros Pasero

Buying Options Renting Options

Own it? Sell it back

Advances in Neural Networks Description

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 Modular Adaptive 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.


Log In

or Create an account

Employers & Housing Providers

Employers can list job opportunities for students

Post a Job

Housing Providers can list available housing

Post Housing

Log In

Forgot your password?

Your new password has been sent to your email!

Logout Successful!

Please Select Your College/University:

You just missed it! This listing has been filled.

Post your own housing listing on Uloop and have students reach out to you!

Upload An Image

Please select an image to upload
Note: must be in .png, .gif or .jpg format
Provide URL where image can be downloaded
Note: must be in .png, .gif or .jpg format