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Type-2 Neuro-Fuzzy Modeling for a Batch Biotechnological Process

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Advances in Soft Computing (MICAI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7095))

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Abstract

In this paper we developed a Type-2 Fuzzy Logic System (T2FLS) in order to model a batch biotechnological process. Type-2 fuzzy logic systems are suitable to drive uncertainty like that arising from process measurements. The developed model is contrasted with an usual type-1 fuzzy model driven by the same uncertain data. Model development is conducted, mainly, by experimental data which is comprised by thirteen data sets obtained from different performances of the process, each data set presents a different level of uncertainty. Parameters from models are tuned with gradient-descent rule, a technique from neural networks field.

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Author information

Authors and Affiliations

  1. Centro de Investigación en Tecnologías de Información y Sistemas, Universidad Autónoma del Estado Hidalgo, Pachuca de Soto, Hidalgo, 42090, México

    Pablo Hernández Torres & Luis Enrique Ramos Velasco

  2. Universidad la Salle Pachuca, Campus La Concepción, Av. San Juan Bautista de La Salle No. 1. San Juan Tilcuautla, San Agustín Tlaxiaca, Hgo. C.P. 42160, Pachuca, Hidalgo, México

    María Angélica Espejel Rivera

  3. Universidad Politécnica de Pachuca, Carretera Pachuca-Cd. Sahagún, Km. 20, Rancho Luna, Ex-Hacienda de Sta. Bárbara, Municipio de Zempoala, Hidalgo, México

    Luis Enrique Ramos Velasco & Julio Cesar Ramos Fernández

  4. Universidad de Sonora, Blvd. Encinas esquina con Rosales s/n, C.P. 83000, Hermosillo, Sonora, México

    Julio Waissman Vilanova

Authors
  1. Pablo Hernández Torres
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  2. María Angélica Espejel Rivera
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  3. Luis Enrique Ramos Velasco
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  4. Julio Cesar Ramos Fernández
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  5. Julio Waissman Vilanova
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Editor information

Editors and Affiliations

  1. Mexican Petroleum Institute (IMP), Eje Central Lazaro Cardenas Norte, 152, Col. San Bartolo Atepehuacan, CP 07730, Mexico DF, Mexico

    Ildar Batyrshin

  2. National Polytechnic Institute (IPN), Center for Computing Research (CIC), Av. Juan Dios Bátiz, s/n, Col. Nueva Industrial Vallejo, CP 07738, Mexico D.F., Mexico

    Grigori Sidorov

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© 2011 Springer-Verlag Berlin Heidelberg

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Hernández Torres, P., Espejel Rivera, M.A., Ramos Velasco, L.E., Ramos Fernández, J.C., Waissman Vilanova, J. (2011). Type-2 Neuro-Fuzzy Modeling for a Batch Biotechnological Process. In: Batyrshin, I., Sidorov, G. (eds) Advances in Soft Computing. MICAI 2011. Lecture Notes in Computer Science(), vol 7095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25330-0_4

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  • DOI: https://doi.org/10.1007/978-3-642-25330-0_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25329-4

  • Online ISBN: 978-3-642-25330-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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