9783030495381 - Soft Computing for Biomedical Applications and Related Topics (Studies in Computational Intelligence, Band 899) (5 Ergebnisse)

Zustand: New. In.

Paperback. Zustand: Brand New. 338 pages. 9.25x6.10x0.71 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware -This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge ¿ e.g. by incorporating it in computer-based advisory systems that can benefit other doctors ¿ this knowledge is often expressed using imprecise (fuzzy) words from natural language such as ¿small,¿ which are difficult for computers to process. Accordingly, we need fuzzy techniques to handle such words. It is also desirable to extract general recommendations from the records of medical doctors¿ decisions ¿ by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques, especially those that are now being used, or potentially could be used, in biomedical applications. Accordingly, it will benefit all researchers and students interested in the latest developments, as well as practitioners who want to learn about new techniques.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch.

Taschenbuch. Zustand: Neu. Soft Computing for Biomedical Applications and Related Topics | Vladik Kreinovich (u. a.) | Taschenbuch | ix | Englisch | 2021 | Springer | EAN 9783030495381 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents innovative intelligent techniques, with an emphasis on their biomedical applications. Although many medical doctors are willing to share their knowledge - e.g. by incorporating it in computer-based advisory systems that can benefit other doctors - this knowledge is often expressed using imprecise (fuzzy) words from natural language such as 'small,' which are difficult for computers to process. Accordingly, we need fuzzy techniques to handle such words. It is also desirable to extract general recommendations from the records of medical doctors' decisions - by using machine learning techniques such as neural networks. The book describes state-of-the-art fuzzy, neural, and other techniques, especially those that are now being used, or potentially could be used, in biomedical applications. Accordingly, it will benefit all researchers and students interested in the latest developments, as well as practitioners who want to learn about new techniques.