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Studies in Computational Intelligence

Development and Analysis of Deep Learning Architectures

Editors: Pedrycz, Witold, Chen, Shyi-Ming (Eds.)

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  • Provides a comprehensive and up-to-date overview of deep learning by discussing a range of methodological and algorithmic issues
  • Addresses implementations and case studies, identifying the best design practices and assessing business models and methodologies encountered in industry, health care, science, administration, and business
  • Serves as a unique and well-structured reference resource for graduate and senior undergraduate students in areas such as computational intelligence, pattern recognition, computer vision, knowledge acquisition and representation, and knowledge-based systems
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eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-030-31764-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-030-31763-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily researched today. Introducing the diversity of learning mechanisms in the environment of big data, and presenting authoritative studies in fields such as sensor design, health care, autonomous driving, industrial control and wireless communication, it enables readers to gain a practical understanding of design. The book also discusses systematic design procedures, optimization techniques, and validation processes.

Table of contents (10 chapters)

Table of contents (10 chapters)
  • Direct Error Driven Learning for Classification in Applications Generating Big-Data

    Pages 1-29

    Krishnan, R. (et al.)

  • Deep Learning for Soft Sensor Design

    Pages 31-59

    Graziani, Salvatore (et al.)

  • Case Study: Deep Convolutional Networks in Healthcare

    Pages 61-89

    Avci, Mutlu (et al.)

  • Deep Domain Adaptation for Regression

    Pages 91-115

    Singh, Ankita (et al.)

  • Deep Learning-Based Pedestrian Detection for Automated Driving: Achievements and Future Challenges

    Pages 117-143

    Karg, Michelle (et al.)

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-030-31764-5
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-030-31763-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Development and Analysis of Deep Learning Architectures
Editors
  • Witold Pedrycz
  • Shyi-Ming Chen
Series Title
Studies in Computational Intelligence
Series Volume
867
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-31764-5
DOI
10.1007/978-3-030-31764-5
Hardcover ISBN
978-3-030-31763-8
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XI, 292
Number of Illustrations
15 b/w illustrations, 120 illustrations in colour
Topics