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Artificial Organic Networks pp 73–111Cite as

Artificial Hydrocarbon Networks

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 521))

Abstract

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

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References

  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):39–51

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  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

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  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

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Author information

Authors and Affiliations

  1. Instituto Tecnológico de Estudios Superiores de Monterrey, Col. Ejidos de Huipulco Tlalpan, Mexico, Distrito Federal, Mexico

    Hiram Ponce-Espinosa, Pedro Ponce-Cruz & Arturo Molina

Authors
  1. Hiram Ponce-Espinosa
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  2. Pedro Ponce-Cruz
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  3. Arturo Molina
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Corresponding author

Correspondence to Hiram Ponce-Espinosa .

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© 2014 Springer International Publishing Switzerland

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Ponce-Espinosa, H., Ponce-Cruz, P., Molina, A. (2014). Artificial Hydrocarbon Networks. In: Artificial Organic Networks. Studies in Computational Intelligence, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-02472-1_4

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

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02471-4

  • Online ISBN: 978-3-319-02472-1

  • eBook Packages: EngineeringEngineering (R0)

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