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Published in:
Introduction to Modeling Problems Read chapter Read first chapter

2014 | OriginalPaper | Chapter

4. Artificial Hydrocarbon Networks

Authors : Hiram Ponce-Espinosa, Pedro Ponce-Cruz, Arturo Molina

Published in: Artificial Organic Networks

Publisher: Springer International Publishing

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Abstract

Hydrocarbons, chemical organic compounds based on hydrogen and carbon atoms, are the most stable compounds in nature.

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previous chapter Artificial Organic Networks
next chapter Enhancements of Artificial Hydrocarbon Networks
Literature
1.
Ponce H, Ponce P (2012) Artificial hydrocarbon networks: a new algorithm bio-inspired on organic chemistry. Int J Artif Intell Comput Res 4(1):39–51MathSciNet
2.
Ponce H, Ponce P, Molina A (2013) A new training algorithm for artificial hydrocarbon networks using an energy model of covalent bonds. In: Proceedings of the 7th IFAC conference on manufacturing modelling, managament, and control. International federation of automatic control, Saint Petersburg, Russia, pp 602–608
3.
Ponce H, Ponce P, Molina A (2012) A novel adaptive filtering for audio siganls using artificial hydrocarbon networks. In: Proceedings of IEEE 9th international conference on electrical engineering, computing science and automatic control. Mexico, Mexico, pp 277–282
4.
Schoukens J, Rolain Y, Gustafsson F, Pintelon R (1998) Fast calculation of least-squares estimates for system identification. In: Proceedings of the 37th IEEE conference on decision and control, vol 3. Tampa, Florida, pp 3408–3410
5.
Nesterov Y (2004) Introductory lectures on convex optimization. Kluwer Academic Publishers, DordrechtCrossRefMATH
6.
Boyd S, Vandenberghe L (2009) Convex optimization. Cambridge University Press, Cambridge
7.
Metadata
Title
Artificial Hydrocarbon Networks
Authors
Hiram Ponce-Espinosa
Pedro Ponce-Cruz
Arturo Molina
Copyright Year
2014
Book
Artificial Organic Networks

Print ISBN: 978-3-319-02471-4

Electronic ISBN: 978-3-319-02472-1

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-02472-1_4

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