Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

Häftad, Engelska, 2020

Del i serien Studies in Computational Intelligence

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Beskrivning

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems.

Produktinformation

Utgivningsdatum:2020-12-03
Mått:155 x 235 x 21 mm
Vikt:563 g
Format:Häftad
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:362
Förlag:Springer Nature Switzerland AG
ISBN:9783030341374

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Innehållsförteckning

Part I: Type-1 and Type-2 Fuzzy Logic.- Intuitionistic and Neutrosophic Fuzzy Logic: Basic Concepts and Applications.- Study of the Relevance of Polynomial Order in Takagi-Sugeno Fuzzy Inference Systems Applied in Diagnosis Prolems.- Adaptation of Parameters with Binary Cat Swarm Optimization Algorithm of Controller for a Mobile Autonomous Robot.- Comparison of Fuzzy Controller Optimization with Dynamic Parameter Adjustment based on of Type-1 and Type-2 Fuzzy Logic.- Part II: Pattern Recognition.- Particle Swarm Algorithm for the Optimization of Modular Neural Networks in Pattern Recognition.- Optimal recognition model based on convolutional neural networks and fuzzy gravitational search algorithm method.