Overview
- Editors:
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Danil Prokhorov
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Toyota Technical Center - A Division of Toyota Motor Engineering and Manufacturing (TEMA), Ann Arbor, USA
- Presents recent automotive applications of Computational Intelligence
- Includes supplementary material: sn.pub/extras
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Table of contents (13 chapters)
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- Yilu Zhang, Yuri Owechko, Jing Zhang
Pages 1-17
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- Luis M. Bergasa, Jesús Nuevo, Miguel A. Sotelo, Rafael Barea, Elena Lopez
Pages 19-37
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- Kari Torkkola, Mike Gardner, Chris Schreiner, Keshu Zhang, Bob Leivian, Harry Zhang et al.
Pages 39-58
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- Tarak Gandhi, Mohan Manubhai Trivedi
Pages 59-77
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- Matthias Steinbrecher, Frank Rügheimer, Rudolf Kruse
Pages 79-88
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- Tomas Hrycej, Christian Manuel Strobel
Pages 89-99
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- Gérard Bloch, Fabien Lauer, Guillaume Colin
Pages 125-144
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- Ivan Arsie, Cesare Pianese, Marco Sorrentino
Pages 145-168
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- Krishna Pattipati, Anuradha Kodali, Jianhui Luo, Kihoon Choi, Satnam Singh, Chaitanya Sankavaram et al.
Pages 191-218
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- Mahmoud El-Banna, Dimitar Filev, Ratna Babu Chinnam
Pages 219-235
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- James Albus, Roger Bostelman, Raj Madhavan, Harry Scott, Tony Barbera, Sandor Szabo et al.
Pages 237-274
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Back Matter
Pages 275-276
About this book
What is computational intelligence (CI)? Traditionally, CI is understood as a collection of methods from the ?elds of neural networks (NN), fuzzy logic and evolutionary computation. Various de?nitions and opinions exist, but what belongs to CI is still being debated; see, e.g., [1–3]. More recently there has been a proposal to de?ne the CI not in terms of the tools but in terms of challenging problems to be solved [4]. With this edited volume I have made an attempt to give a representative sample of contemporary CI activities in automotive applications to illustrate the state of the art. While CI researchand achievements in some specialized ?elds described (see, e.g., [5, 6]), this is the ?rst volume of its kind dedicated to automotive technology. As if re?ecting the general lack of consensus on what constitutes the ?eld of CI, this volume 1 illustrates automotive applications of not only neural and fuzzy computations which are considered to be the “standard” CI topics, but also others, such as decision trees, graphicalmodels, Support Vector Machines (SVM), multi-agent systems, etc. This book is neither an introductory text, nor a comprehensive overview of all CI research in this area. Hopefully, as a broad and representative sample of CI activities in automotive applications, it will be worth reading for both professionals and students. When the details appear insu?cient, the reader is encouraged to consult other relevant sources provided by the chapter authors.
Editors and Affiliations
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Toyota Technical Center - A Division of Toyota Motor Engineering and Manufacturing (TEMA), Ann Arbor, USA
Danil Prokhorov
