Learning Systems: From Theory to Practice

Häftad, Engelska, 2019

Av Vassil Sgurev, Vincenzo Piuri, Vladimir Jotsov

2 379 kr

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By presenting the latest advances in fuzzy sets and computing with words from around the globe, this book disseminates recent innovations in advanced intelligent technologies and systems.

Produktinformation

Utgivningsdatum2019-01-24
Mått155 x 235 x 18 mm
Vikt482 g
FormatHäftad
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor301
FörlagSpringer Nature Switzerland AG
ISBN9783030091644

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Artificiell intelligens inom Data och it

From von Neumann architecture and Atanasoff’s ABC to Neuro-morphic Computation and Kasabov’s NeuCube: Principles and Implementations.- Applications of Computational Intelligence in Industrial and Environmental Scenarios.- Real, Imaginary and Complex Sets.- Intercriteria analysis over patterns.- From Primary to Conventional Science.- Intelligent Two-Level Optimization and Model Predictive Control of Degrading Plants.- Collaborative Clustering: New Perspective to Rank Factor Granules.- Learning through Contstraint Applications.- Autonomous Flight Control and Precise Gestural Positioning of a Small Quadrotor.- Introduction to the Theory of Randomized Machine Learning.- Grid-Type Fuzzy Models for Performance Evaluation and Condition Monitoring of Photovoltaic Systems.- Intelligent Control of Uncertain Switched Nonlinear Plants: NFG Optimum Control Synthesis via Switched Fuzzy Time-delay Systems.- Multidimensional Intuitionistic Fuzzy Quantiﬁers and Level Operators.- Data Processing and Harmonization for Intelligent Transportation Systems. An Application Scenario on Highway Traffic Flows.