Autonomous Learning Systems: From Data Streams to Knowledge in Real-time

Autonomous Learning Systems: From Data Streams to Knowledge in Real-time

Author(s): Plamen Angelov

Published Online: 6 NOV 2012

Print ISBN: 9781119951520

Online ISBN: 9781118481769

DOI: 10.1002/9781118481769

About this Book

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: 

  • Presents the subject systematically from explaining the fundamentals to illustrating the proposed approach with numerous applications.
  • Covers a wide range of applications in fields including unmanned vehicles/robotics, oil refineries, chemical industry, evolving user behaviour and activity recognition.
  • Reviews traditional fields including clustering, classification, control, fault detection and anomaly detection, filtering and estimation through the prism of evolving and autonomously learning mechanisms.
  • Accompanied by a website hosting additional material, including the software toolbox and lecture notes.

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.

Table of contents

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  1. Part I: Fundamentals

  2. Part II: Methodology of Autonomous Learning Systems

  3. Part III: Applications of ALS

  4. Appendices

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