Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

Häftad, Engelska, 2020

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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

Utgivningsdatum2020-12-03
Mått155 x 235 x 21 mm
Vikt563 g
FormatHäftad
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor362
FörlagSpringer Nature Switzerland AG
ISBN9783030341374

Tillhör följande kategorier

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.