Handbook of Neural Computation

Handbook of Neural Computation

von: Pijush Samui, Sanjiban Sekhar Roy, Valentina E. Balas

Elsevier Reference Monographs, 2017

ISBN: 9780128113196 , 658 Seiten

Format: ePUB, PDF

Kopierschutz: DRM

Mac OSX,Windows PC für alle DRM-fähigen eReader Apple iPad, Android Tablet PC's Apple iPod touch, iPhone und Android Smartphones

Preis: 170,17 EUR

eBook anfordern eBook anfordern

Mehr zum Inhalt

Handbook of Neural Computation


 

Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world.
Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text.
  • Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more
  • Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing
  • Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods