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Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction pp 17–34Cite as

Problem Statement and Development

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

Abstract

The first goal of this book is the construction of the Ensembles of IT2FNN models and their optimization of the fuzzy integrators with GAs and PSO algorithms for time series prediction. The second goal is the design of interval type-2 and type-1 fuzzy systems to integrate the outputs (forecasts) of the IT2FNN models forming the Ensemble.

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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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Corresponding author

Correspondence to Jesus Soto .

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Soto, J., Melin, P., Castillo, O. (2018). Problem Statement and Development. 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_3

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  • DOI: https://doi.org/10.1007/978-3-319-71264-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71263-5

  • Online ISBN: 978-3-319-71264-2

  • eBook Packages: EngineeringEngineering (R0)

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