Computational Intelligence in Automotive Applications -

Computational Intelligence in Automotive Applications

Danil Prokhorov (Herausgeber)

Buch | Softcover
XV, 365 Seiten
2014 | 2008
Springer Berlin (Verlag)
978-3-642-42425-0 (ISBN)
160,49 inkl. MwSt
This edited volume is the first of its kind and provides a representative sample of contemporary computational intelligence (CI) activities in the area of automotive technology. All chapters contain overviews of the state-of-the-art.

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.

Learning-Based Driver Workload Estimation.- Visual Monitoring of Driver Inattention.- Understanding Driving Activity Using Ensemble Methods.- Computer Vision and Machine Learning for Enhancing Pedestrian Safety.- Application of Graphical Models in the Automotive Industry.- Extraction of Maximum Support Rules for the Root Cause Analysis.- Neural Networks in Automotive Applications.- On Learning Machines for Engine Control.- Recurrent Neural Networks for AFR Estimation and Control in Spark Ignition Automotive Engines.- Intelligent Vehicle Power Management: An Overview.- An Integrated Diagnostic Process for Automotive Systems.- Automotive Manufacturing: Intelligent Resistance Welding.- Intelligent Control of Mobility Systems.

Erscheint lt. Verlag 15.11.2014
Reihe/Serie Studies in Computational Intelligence
Zusatzinfo XV, 365 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 587 g
Themenwelt Natur / Technik Fahrzeuge / Flugzeuge / Schiffe Auto / Motorrad
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Algebra
Mathematik / Informatik Mathematik Angewandte Mathematik
Technik Fahrzeugbau / Schiffbau
Technik Maschinenbau
Schlagworte Automotive Applications • automotive engineering • Automotive technology • Calculus • Computational Intelligence • computer vision • learning • machine learning • neural network • Safety • Toyota
ISBN-10 3-642-42425-2 / 3642424252
ISBN-13 978-3-642-42425-0 / 9783642424250
Zustand Neuware
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