Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design

Author:   Oscar Castillo ,  Patricia Melin
Publisher:   Springer International Publishing AG
Edition:   2023 ed.
Volume:   1061
ISBN:  

9783031220449


Pages:   252
Publication Date:   28 January 2024
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design


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Author:   Oscar Castillo ,  Patricia Melin
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2023 ed.
Volume:   1061
Weight:   0.409kg
ISBN:  

9783031220449


ISBN 10:   3031220447
Pages:   252
Publication Date:   28 January 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

​On Decision Making Applications Via Distance Measures.- On Intuitionistic Fuzzy Abstract Algebras.- Generalization of Intuitionistic Fuzzy Submodules of a Module by using Triangular Norms and Conorms and (T, S)-L Subrings.- Fuzzy Dynamic Parameter Adaptation in the Mayfly Algorithm: Implementation of fuzzy adaptation and tests on benchmark functions and Mackey Glass neural network.- Fuzzy classifier using the optimization algorithm by means of particles for the diagnosis of arterial hypertension.- A Survey of Models and Solution Methods for the Internet Shopping Optimization Problem.- A comparison between MFCC and MSE features for text-independent speaker recognition using machine learning algorithms.- Forecasting based on Fuzzy Logic of the Level of Epidemiological Risk for the Mexican State of Tamaulipas.- Bio-Inspired Flower Pollination Algorithm for the Optimization of a Monolithic Neural Network.- Rendezvous and Docking Control of Satellites Using Chaos SynchronizationMethod with Intuitionistic Fuzzy Sliding Mode Control.- Optimizing a convolutional neural network with a hierarchical genetic algorithm for diabetic retinopathy detection.- Interval Type-3 Fuzzy Systems: a natural evolution from type-1 and type-2 fuzzy systems.- A comparative study between bird swarm algorithm and artificial gorilla troops optimize.- Particle Swarm Optimization of Convolutional Neural Networks for Diabetic Retinopathy Classification

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