Autonomous Learning Systems: From Data Streams to Knowledge in Real-Time Contributor(s): Angelov, Plamen (Author) |
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ISBN: 1119951526 ISBN-13: 9781119951520 Publisher: Wiley OUR PRICE: $142.45 Product Type: Hardcover - Other Formats Published: January 2013 |
Additional Information |
BISAC Categories: - Science | System Theory |
Dewey: 006.31 |
LCCN: 2012025907 |
Physical Information: 0.7" H x 6.9" W x 9.8" (1.30 lbs) 298 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven - there is a strong trend of innovation of all of the above well-established research disciplines that is linked to their on-line and real-time application; their adaptability and flexibility. Providing an introduction to the key technologies, detailed technical explanations of the methodology, and an illustration of the practical relevance of the approach with a wide range of applications, this book addresses the challenges of autonomous learning systems with a systematic approach that lays the foundations for a fast growing area of research that will underpin a range of technological applications vital to both industry and society. Key features:
Autonomous Learning Systems provides a 'one-stop shop' on the subject for academics, students, researchers and practicing engineers. It is also a valuable reference for Government agencies and software developers. |