Sigeru Omatu (ed.); Mohd Saberi Mohamad (ed.); Paulo Novais (ed.); Enrique Díaz-Plaza Sanz (ed.); José Alberto García Coria Springer (2019) Pehmeäkantinen kirja
Eric J. Lien; Arima Das; Partha Nandy; Shijun Ren; Horst Kleinkauf; Hans von Döhren; Iradj Hajimohamadreza; J. Treherne Birkhauser Verlag AG (2013) Pehmeäkantinen kirja
This book addresses a broad range of topics, from newly proposed techniques in Artificial Intelligence (AI) and Machine Learning to various applications such as decision-making, pattern classification for data, image and signals, robotics, and control systems. Big data applications are discussed, while improved methods and wholly new methods for using deep learning technologies are also presented.
The topics covered are comprehensive and reflect a wide range of technologies in the area. In particular, the latest methods in deep learning approaches and applications are discussed in many parts of the book, providing a better understanding of these new technologies.
The book’s general scope includes the latest methods in the areas of Artificial Intelligence and Machine Learning for use in distributed computing as well as decision support systems. As the book covers a rather wide area, its intended readership ranges from those working in AI and machine learning technologies to those working on applications utilizing these technologies, researchers new to these areas who need background information on the technologies and applications, and more experienced researchers looking for new methods and applications.
