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"item_title" : "Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction",
"item_author" : [" Jesus Soto", "Patricia Melin", "Oscar Castillo "],
"item_description" : "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",
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Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction
Overview
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
This item is Non-Returnable
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Details
- ISBN-13: 9783319712635
- ISBN-10: 3319712632
- Publisher: Springer
- Publish Date: November 2017
- Dimensions: 9.21 x 6.14 x 0.22 inches
- Shipping Weight: 0.36 pounds
- Page Count: 97
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