Angelov Autonomous Learning Systems
1. Auflage 2012
ISBN: 978-1-118-48191-2
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
From Data Streams to Knowledge in Real-time
E-Book, Englisch, 304 Seiten, E-Book
ISBN: 978-1-118-48191-2
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Autonomous Learning Systems is the result of over adecade of focused research and studies in this emerging area whichspans a number of well-known and well-established disciplines thatinclude machine learning, system identification, data mining, fuzzylogic, neural networks, neuro-fuzzy systems, control theory andpattern recognition. The evolution of these systems has been bothindustry-driven with an increasing demand from sectors such asdefence and security, aerospace and advanced process industries,bio-medicine and intelligent transportation, as well asresearch-driven - there is a strong trend of innovation ofall of the above well-established research disciplines that islinked to their on-line and real-time application; theiradaptability and flexibility.
Providing an introduction to the key technologies, detailedtechnical explanations of the methodology, and an illustration ofthe practical relevance of the approach with a wide range ofapplications, this book addresses the challenges of autonomouslearning systems with a systematic approach that lays thefoundations for a fast growing area of research that will underpina range of technological applications vital to both industry andsociety.
Key features:
* Presents the subject systematically from explaining thefundamentals to illustrating the proposed approach with numerousapplications.
* Covers a wide range of applications in fields includingunmanned vehicles/robotics, oil refineries, chemical industry,evolving user behaviour and activity recognition.
* Reviews traditional fields including clustering,classification, control, fault detection and anomalydetection, filtering and estimation through the prism of evolvingand autonomously learning mechanisms.
* Accompanied by a website hosting additional material, includingthe software toolbox and lecture notes.
Autonomous Learning Systems provides a 'one-stopshop' on the subject for academics, students, researchers andpracticing engineers. It is also a valuable reference forGovernment agencies and software developers.
