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Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction

Part of the book series: SpringerBriefs in Applied Sciences and Technology ((BRIEFSINTELL))

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Abstract

In this chapter, we describe the state of the art of the computational intelligence techniques, which we use as a basis for this work.

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Authors and Affiliations

  1. Division of Graduate Studies, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Jesus Soto, Patricia Melin & Oscar Castillo

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  1. Jesus Soto
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  2. Patricia Melin
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  3. Oscar Castillo
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Correspondence to Jesus Soto .

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Soto, J., Melin, P., Castillo, O. (2018). State of the Art. In: Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-71264-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-71264-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71263-5

  • Online ISBN: 978-3-319-71264-2

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