| 书目名称 | Multidisciplinary Approaches to Neural Computing |
| 编辑 | Anna Esposito,Marcos Faudez-Zanuy,Eros Pasero |
| 视频video | |
| 概述 | Provides fundamental insights for cross-fertilization: machine learning, artificial neural networks (ANNs) (algorithms and models), social and biometric data for applications in human–computer interac |
| 丛书名称 | Smart Innovation, Systems and Technologies |
| 图书封面 |  |
| 描述 | .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 and 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 |
| 出版日期 | Book 2018 |
| 关键词 | Neural Network Models; Machine Learning; Artificial Intelligent Methods; Industrial and Robotics Applic |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-56904-8 |
| isbn_softcover | 978-3-319-86031-2 |
| isbn_ebook | 978-3-319-56904-8Series ISSN 2190-3018 Series E-ISSN 2190-3026 |
| issn_series | 2190-3018 |
| copyright | Springer International Publishing AG, part of Springer Nature 2018 |
发表于 2025-3-21 18:23:15
