Dynamic Fuzzy Machine Learning - Hardcover

Li, Fanzhang; Zhang, Li; Zhang, Zhao

Hardcover

ISBN 10: 3110518708 ISBN 13: 9783110518702

Verlag: De Gruyter, 2017

Inhaltsangabe

Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors carried out more than 20 years of research, and show in this book their most important results. The seven chapters of the book are devoted to key topics such as dynamic fuzzy machine learning models, dynamic fuzzy self-learning subspace algorithms, fuzzy decision tree learning, dynamic concepts based on dynamic fuzzy sets, semi-supervised multi-task learning based on dynamic fuzzy data, dynamic fuzzy hierarchy learning, examination of multi-agent learning model based on dynamic fuzzy logic.

This book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artificial intelligence, machine learning, automation, data analysis, mathematics, management, cognitive science, and finance. It can be also used as the basis for teaching the principles of dynamic fuzzy learning.

Über diesen Titel

Über die Autorin bzw. den Autor

Fanzhang Li, Zhang Li, Zhang Zhao, Soochow University, Suzhou, China

Details zur Ausgabe

• Verlag: De Gruyter
• Erscheinungsdatum: 2017
• Sprache: Englisch
• ISBN 10: 3110518708
• ISBN 13: 9783110518702
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 337
• Kontakt zum Hersteller: productsafety@degruyterbrill.com; productsafety@degruyterbrill.com; ; Theaterstraße 13; Göttingen; 37073; Deutschland