Dynamic Fuzzy Machine Learning is popular PDF and ePub book, written by Fanzhang Li in 2017-12-04, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Dynamic Fuzzy Machine Learning can be Read Online from any device for your convenience.
Dynamic Fuzzy Machine Learning Book PDF Summary
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.
Detail Book of Dynamic Fuzzy Machine Learning PDF
- Author : Fanzhang Li
- Release : 04 December 2017
- Publisher : Walter de Gruyter GmbH & Co KG
- ISBN : 9783110520651
- Genre : Computers
- Total Page : 338 pages
- Language : English
- PDF File Size : 12,5 Mb
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