Hybrid Intelligent Systems Based on Extensions of Fuzzy Logic, Neural Networks and Metaheuristics

Inbunden, Engelska, 2023

Del i serien Studies in Computational Intelligence

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Beskrivning

There are a group of papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications.

Produktinformation

Utgivningsdatum:2023-06-13
Mått:155 x 235 x 26 mm
Vikt:1 020 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:498
Förlag:Springer International Publishing AG
ISBN:9783031289989

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

A decision-making approach based on multiple neural networks for clustering and prediction of time series.- Approximation of Physicochemical Properties based on a Mes-sage Passing Neural Network Approach.- Quanvolutional Neural Network applied to MNIST.- Traffic Sign Recognition Using Fuzzy Preprocessing and Deep Neural Networks.- Fuzzy dynamic adaptation of an Artificial Fish Swarm Algo-rithm for the Optimization of Benchmark Functions.- Particle Swarm Optimization Algorithm with Improved Opposi-tion-Based Learning (IOBL-PSO) to Solve Continuous Problems.- Study on the effect of chaotic maps in the formation of new uni-verses in the Multiverse Optimizer algorithm.- Performance comparative of surrogate models as fitness func-tions for metaheuristic algorithms.- A New Continuous Mycorrhiza Optimization Nature-Inspired Algorithm.- Optimal Tuning of an Active Disturbance Rejection Controller using a Particle Swarm Optimization algorithm.- Optimization of Fuzzy Controllers using Distributed Bioinspired Methods with Random parameters.- Application of Compensatory Fuzzy Logic in Diabetes Problem Using Pima-Indians Dataset.- Comparison of the effect of parameter adaptation in bio-inspired CS algorithm using Type-2 Fuzzy Logic.- Interpretability of an Archimedean Compensatory Fuzzy Logic in Data Analytics: some case studies.- A new selection and class prediction using type-1 fuzzy logic ap-plied to a convolutional neural network.- Relaxed Differential Evolution Algorithm.- Automatic Characterization of Time Series Using Metaheuristic Algorithms for Epidemics Spread Analysis.- Comparative study of heuristics for the One-dimensional Bin Pa-cking Problem.- Experimental Evaluation of Adaptive Operators Selection Methods for the Dynamic Multiobjective Evolutionary Algorithm Based on Decomposition (DMOEA/D).- Automated Machine Learning to improve stock-market forecast-ing using PSO and LSTM networks.- Evolutionary Gaussian-Gradient: A new optimization algorithm for the electromechanical design of gravitational batteries.- A comparison between selection operators heuristics of perturba-tion in CSP.- Trajectory Tracking Control of Wheeled Mobile Robots Using Neural Networks and Feedback Control Techniques.- An Evolutionary Bilevel Optimization Approach for Neuroevolu-tion.- Recovering from population extinction in the Animal Life Cycle Algorithm (ALCA).- Multi-objective optimization through coevolution and outranking methods with uncertainty management.- EDA Experimental Proposal with Mallows Distribution applied to the Mixed No-idle Permutation Flowshop Scheduling problem.- Interval Type-3 Fuzzy Decision Making in Material Surface Quality Control.- Interval Type-3 Fuzzy Decision Making in Quality Evaluation for Speaker Manufacturing.