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Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction
Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction
115,37
128,19 €
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Includes a brief introduction, where the intelligent techniques that are used, the main contribution, motivations, application, and a general description of the proposed methods are presentedFocuses on the fields of hybrid systems, fuzzy systems, bio-inspired algorithms and time seriesDescribes the construction of ensembles of Interval Type-2 Fuzzy Neural Networks (IT2FNN) models and the optimization of their fuzzy integrators with bio-inspired algorithms for time series prediction
128.19
  • Publisher:
  • ISBN-10: 3319712632
  • ISBN-13: 9783319712635
  • Format: 15.6 x 23.4 x 0.6 cm, minkšti viršeliai
  • Language: English
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Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction (e-book) (used book) | bookbook.eu

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Includes a brief introduction, where the intelligent techniques that are used, the main contribution, motivations, application, and a general description of the proposed methods are presented
Focuses on the fields of hybrid systems, fuzzy systems, bio-inspired algorithms and time series
Describes the construction of ensembles of Interval Type-2 Fuzzy Neural Networks (IT2FNN) models and the optimization of their fuzzy integrators with bio-inspired algorithms for time series prediction

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  • Author: Jesus Soto
  • Publisher:
  • ISBN-10: 3319712632
  • ISBN-13: 9783319712635
  • Format: 15.6 x 23.4 x 0.6 cm, minkšti viršeliai
  • Language: English English

Includes a brief introduction, where the intelligent techniques that are used, the main contribution, motivations, application, and a general description of the proposed methods are presented
Focuses on the fields of hybrid systems, fuzzy systems, bio-inspired algorithms and time series
Describes the construction of ensembles of Interval Type-2 Fuzzy Neural Networks (IT2FNN) models and the optimization of their fuzzy integrators with bio-inspired algorithms for time series prediction

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