Autonomous Learning Systems From Data Streams to Knowledge in Real-time
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:PDF
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118,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
15.10.2012
Verlag
John Wiley & SonsSeitenzahl
304 (Printausgabe)
Dateigröße
9598 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781118481905
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.
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.
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