Overview
- Offers the state of the art of tremendous advances in machine learning and systems engineering
- Serves as an excellent reference text for researchers and graduate students, working on machine learning and systems engineering
- Contains forty-six revised and extended research articles written by prominent researchers
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 68)
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Table of contents (46 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning and Systems Engineering
Editors: Sio-Iong Ao, Burghard Rieger, Mahyar A. Amouzegar
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-90-481-9419-3
Publisher: Springer Dordrecht
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media B.V. 2010
Hardcover ISBN: 978-90-481-9418-6Published: 09 October 2010
Softcover ISBN: 978-94-007-3374-9Published: 05 December 2012
eBook ISBN: 978-90-481-9419-3Published: 05 October 2010
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XXII, 614
Topics: Computational Intelligence, Artificial Intelligence, Systems and Data Security