You might also like

More about Multidisciplinary Approaches to Neural Computing

• Book details
• Synopsis
• Trending among others

You get 249 loyalty points

Book synopsis

This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressed are multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal exchanges and invariant machine representations that can be exploited to improve the quality of life of their end users. Mathematical tools like ANNs are currently exploited in many scientific domains because of their solid theoretical background and effectiveness in providing solutions to many demanding tasks such as appropriately processing (both for extracting features and recognizing) mono- and bi-dimensional dynamic signals, solving strong nonlinearities in the data and providing general solutions for deep and fully connected architectures. Given the multidisciplinary nature of their use and the interdisciplinary characterization of the problems they are applied to - which range from medicine to psychology, industrial an d social robotics, computer vision, and signal processing (among many others) - ANNs may provide a basis for redefining the concept of information processing. These reflections are supported by theoretical models and applications presented in the chapters of this book. This book is of primary importance for: (a) the academic research community, (b) the ICT market, (c) PhD students and early-stage researchers, (d) schools, hospitals, rehabilitation and assisted-living centers, and (e) representatives of multimedia industries and standardization bodies.

Book details

Book category Books in English Mathematics & science Mathematics Applied mathematics

• Full title: Multidisciplinary Approaches to Neural Computing
• Author: Anna Esposito, Marcos Faudez-Zanuy, Francesco Carlo Morabito, Eros Pasero
• Language: English
• Binding: Hardback
• Number of pages: 388
• EAN: 9783319569031
• ISBN: 3319569031
• ID: 16078370
• Publisher: Springer International Publishing AG
• Weight: 7273 g
• Dimensions: 235 × 155 × 25 mm
• Date of publishing: 06. September 2017

Trending among others

---

---

---