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Machine Learning and Systems Engineering

  • Sio-Iong Ao
  • Burghard Rieger
  • Mahyar A. Amouzegar

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 68)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Enrico Stoll, Alvar Saenz-Otero, Brent Tweddle
    Pages 1-15
  3. Miloš Šeda, Radomil Matoušek, Pavel Ošmera, Čeněk Šandera, Roman Weisser
    Pages 47-57
  4. Anuj Kumar, I. P. Singh, S. K. Sud
    Pages 59-69
  5. Kashif Gill, Abedalrazq Khalil, Yasir Kaheil, Dennis Moon
    Pages 71-82
  6. David J. Ward, Eric Y. Tao
    Pages 97-109
  7. R. Marichal, J. D. Piñeiro, E. González, J. Torres
    Pages 121-130
  8. Radomil Matousek, Josef Bednar
    Pages 131-142
  9. S. Jassar, Z. Liao, L. Zhao
    Pages 143-155
  10. R. Montenegro, J. M. Cascón, J. M. Escobar, E. Rodríguez, G. Montero
    Pages 157-167
  11. Johannes V. Gragger, Anton Haumer, Markus Einhorn
    Pages 169-181
  12. Jerzy Kozak, Zbigniew GulbinowiczGulbinowicz
    Pages 183-195
  13. Pavan K. Vempaty, Ka C. Cheok, Robert N. K. Loh, Micho Radovnikovich
    Pages 213-225
  14. Wei Zhan, Make McDermott, Behbood Zoghi, Muhammad Hasan
    Pages 227-241
  15. Osama A. Marzouk, E. David Huckaby
    Pages 243-256
  16. Bernd Scholz-Reiter, Jens Heger, Torsten Hildebrandt
    Pages 269-281
  17. Seraphin C. Abou, Manali Kulkarni, Marian Stachowicz
    Pages 283-296
  18. Wensheng Shen, Kimberly Forsten-Williams, Michael Fannon, Changjiang Zhang, Jun Zhang
    Pages 297-310
  19. Eric Zabre, Edgardo J. Roldán-Villasana, Guillermo Romero-Jiménez
    Pages 327-339
  20. Amar Partap Singh, Baljit Singh
    Pages 341-351
  21. Xinggan Zhang, Yechao Bai, Wei Zhang
    Pages 353-358
  22. Jaka Sodnik, Sašo Tomažič
    Pages 359-371
  23. N. Venkatesh, M. Girish Chandra
    Pages 373-383
  24. Hrishikesh VenkataramanVenkataraman, Gabriel-Miro Muntean
    Pages 385-396
  25. Michael Zwick
    Pages 411-421
  26. G. Murugesan, C. Chellappan
    Pages 439-449
  27. Karima Velásquez, Eric Gamess
    Pages 465-480
  28. Chee Yong Chai, Shakirah Mohd Taib
    Pages 481-493
  29. Kamal Sharma, Hemant Sharma, A. K. Ramani
    Pages 495-506
  30. Amany Abdelhalim, Issa Traore
    Pages 521-532
  31. Aya Sedky Adly, Olfat A. Diab Kandil, M. Shaarawy Ibrahim, Mahmoud Sedky Adly, Ahmad Sedky Adly, Afnan Sedky Adly
    Pages 533-546
  32. Toru Yazawa, Yukio Shimoda, Tomoo Katsuyama
    Pages 547-556
  33. Davinson Castaño Cano
    Pages 557-568
  34. Back Matter
    Pages 607-612

About this book

Introduction

A large international conference on Advances in Machine Learning and Systems Engineering was held in UC Berkeley, California, USA, October 20-22, 2009, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2009). Machine Learning and Systems Engineering contains forty-six revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Expert system, Intelligent decision making, Knowledge-based systems, Knowledge extraction, Data analysis tools, Computational biology, Optimization algorithms, Experiment designs, Complex system identification, Computational modeling, and industrial applications. Machine Learning and Systems Engineering offers the state of the art of tremendous advances in machine learning and systems engineering and also serves as an excellent reference text for researchers and graduate students, working on machine learning and systems engineering.

Keywords

Software development entropy environment fuzzy knowledge learning machine learning modeling multimedia optimization robot simulation system systems engineering

Editors and affiliations

  • Sio-Iong Ao
    • 1
  • Burghard Rieger
    • 2
  • Mahyar A. Amouzegar
    • 3
  1. 1., Unit 1, 1/FInternational Association of EngineersHong KongHong Kong/PR China
  2. 2.Inst.Computerlinguistik, Abt. Linguistische DatenverarbeitungUniversität TrierTrierGermany
  3. 3.Dept. Chemical EngineeringCalifornia State UniversityLong BeachUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-90-481-9419-3
  • Copyright Information Springer Science+Business Media B.V. 2010
  • Publisher Name Springer, Dordrecht
  • eBook Packages Engineering
  • Print ISBN 978-90-481-9418-6
  • Online ISBN 978-90-481-9419-3
  • Series Print ISSN 1876-1100
  • Series Online ISSN 1876-1119
  • Buy this book on publisher's site