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Learning Systems: From Theory to Practice [2018]

1
From von Neumann Architecture and Atanasoffs ABC to Neuro-Morphic Computation and Kasabov’s NeuCube: Principles and Implementations
29
Applications of Computational Intelligence in Industrial and Environmental Scenarios
47
Real, Imaginary and Complex Sets
61
Intercriteria Analysis over Patterns
73
From Primary to Conventional Science
117
Intelligent Two-Level Optimization and Model Predictive Control of Degrading Plants
135
Collaborative Clustering: New Perspective to Rank Factor Granules
149
Learning Through Constraint Applications
179
Autonomous Flight Control and Precise Gestural Positioning of a Small Quadrotor
199
Introduction to the Theory of Randomized Machine Learning
221
Grid-Type Fuzzy Models for Performance Evaluation and Condition Monitoring of Photovoltaic Systems
251
Intelligent Control of Uncertain Switched Nonlinear Plants: NFG Optimum Control Synthesis via Switched Fuzzy Time-Delay Systems
267
Multidimensional Intuitionistic Fuzzy Quantifiers and Level Operators
281
Data Processing and Harmonization for Intelligent Transportation Systems: An Application Scenario on Highway Traffic Flows
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