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Impact of Flowfield on Pollutants’ Emission from a Swirl-Assisted Distributed Combustor Read chapter Read first chapter

2021 | OriginalPaper | Chapter

What Artificial Intelligence Can Do for You

Author : Kamil Ekštein

Published in: Advances in IC Engines and Combustion Technology

Publisher: Springer Singapore

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Abstract

In the course of the last two decades, artificial intelligence progressively spread into many areas of research and development, even to those where it was far from being expected and that was always regarded as self-sustainable and as kinds of closed universes (e.g., mechanical engineering or, let us say, Egyptology). This talk discusses several ways artificial intelligence techniques can be deployed in the area of combustion (or more generally chemical process modelling) and what benefits could be expected from doing so. Naturally, the disadvantages of artificial intelligence techniques are discussed as well.

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previous chapter Emission Characteristics on Combustion of HEFA Alternative-Aviation Fuel Under In-Flight Conditions
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Footnotes
1
The discretization step is in fact limited only by the available memory and computational power of the used computer.
 
2
Finite element method, Computational fluid dynamics.
 
3
However, it can play nowadays many different roles as well.
 
4
Currently, there exist a large number of modifications of the original backpropagation. Thus, the term backpropagation denotes rather a class of algorithms than a specific one.
 
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Lohn JD, Linden DS, Hornby G (2008) Advanced antenna design for a NASA small satellite mission. In: Proceeding of 2nd annual AIAA/USU conference on small satellites
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Bishop CM (1995) Neural networks for pattern recognition. Clarendon Press. ISBN: 978-0198538493. OCLC 33101074
Metadata
Title
What Artificial Intelligence Can Do for You
Author
Kamil Ekštein
Copyright Year
2021
Publisher
Springer Singapore
Book
Advances in IC Engines and Combustion Technology

Print ISBN: 978-981-15-5995-2

Electronic ISBN: 978-981-15-5996-9

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-5996-9_5

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