New Data-Driven Method Reveals How (Un)Predictable Complex Systems Can Be (IMAGE)

National University of Singapore College of Design and Engineering

New Data-Driven Method Reveals How (Un)Predictable Complex Systems Can Be

Caption

Demonstrating the applicability of αη across a diverse range of systems. These include a canonical dynamical system (Rössler attractor), simulation data for slow earthquakes (spring-slider system), a classical physics problem (double pendulum), and real-world biological data (observational ECG and EEG data). 

Credit

College of Design and Engineering at NUS

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CC BY-NC-ND

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