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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Dynamic Fuzzy Machine Learning (Hardcover)
Loot Price: R5,305
Discovery Miles 53 050
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Dynamic Fuzzy Machine Learning (Hardcover)
Expected to ship within 10 - 15 working days
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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.
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