Front cover image for Learning systems : from theory to practice

Learning systems : from theory to practice

Vasil Sgurev (Editor), Vincenzo Piuri (Editor), Vladimir Jotsov (Editor)
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. From intelligent control and intuitionistic fuzzy quantifiers to various data science and industrial applications, it includes a wide range of valuable lessons learned and ideas for future intelligent products and systems
eBook, English, 2018
Springer, Cham, Switzerland, 2018
1 online resource (xii, 301 pages)
9783319751818, 9783319751801, 9783319751825, 9783030091644, 3319751816, 3319751808, 3319751824, 3030091643
Printed edition:
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