Electronic Resource

MACHINE LEARNING FOR CYBER PHYSICAL SYSTEMS

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This Open Access proceedings presents new approaches to Machine Learning for Cyber Physical Systems, experiences and visions. It contains some selected papers from the international Conference ML4CPS – Machine Learning for Cyber Physical Systems, which was held in Karlsruhe, October 23-24, 2018.

Cyber Physical Systems are characterized by their ability to adapt and to learn: They analyze their environment and, based on observations, they learn patterns, correlations and predictive models. Typical applications are condition monitoring, predictive maintenance, image processing and diagnosis. Machine Learning is the key technology for these developments.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

006.31 MAN m

Penerbit

Berlin, Germany : Springer Vieweg., 2019

Deskripsi Fisik

VII, 136 p.

Bahasa

English

ISBN/ISSN

9783662584859

Klasifikasi

006.31

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

MACHINE LEARNING
Cooperating objects (Computer systems)

Info Detail Spesifik

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Pernyataan Tanggungjawab

Beyerer, Jürgen

Versi lain/terkait

Lampiran Berkas

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