Autonomous Learning Systems

Autonomous Learning Systems
Author: Plamen Angelov
Publisher: John Wiley & Sons
Total Pages: 259
Release: 2012-11-06
Genre: Science
ISBN: 1118481917


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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.


Autonomous Learning Systems
Language: en
Pages: 259
Authors: Plamen Angelov
Categories: Science
Type: BOOK - Published: 2012-11-06 - Publisher: John Wiley & Sons

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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-est
Autonomous Learning from the Environment
Language: en
Pages: 355
Authors: Wei-Min Shen
Categories: Artificial intelligence
Type: BOOK - Published: 1994 - Publisher: Computer Science Press, Incorporated

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A significant contribution to the scientific foundation of autonomous learning systems, this book contains clear, up-to-date coverage of three basic subtasks: a
Autonomous Learning Systems
Language: en
Pages: 273
Authors: Plamen P. Angelov
Categories: Electronic books
Type: BOOK - Published: 2013-01-01 - Publisher: John Wiley & Sons

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Intelligent Autonomous Systems
Language: en
Pages: 269
Authors: Dilip Kumar Pratihar
Categories: Computers
Type: BOOK - Published: 2010-02-24 - Publisher: Springer Science & Business Media

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This research book contains a sample of most recent research in the area of intelligent autonomous systems. The contributions include: General aspects of intell
New Autonomous Systems
Language: en
Pages: 234
Authors: Alain Cardon
Categories: Technology & Engineering
Type: BOOK - Published: 2016-03-14 - Publisher: John Wiley & Sons

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The idea of autonomous systems that are able to make choices according to properties which allow them to experience, apprehend and assess their environment is b