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Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction pp 1–3Cite as

Introduction

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Abstract

Based on the evolution of a variable or a set of variables given in a time series, to predict future values of this variable we should seek the dynamic laws governing the real state of the system over time. This preliminary step is the prediction modeling process. In short, time series analysis aims at drawing conclusions about a complex system using past data.

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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

Authors
  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). Introduction. 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_1

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  • DOI: https://doi.org/10.1007/978-3-319-71264-2_1

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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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