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Chaotic behavior in systems - Mathematical models.
概要
作品:
12 作品在 6 項出版品 6 種語言
書目資訊
Managing emergent phenomena = nonlinear dynamics in work organizations /
by:
(書目-語言資料,印刷品)
Cellular automata = a discrete universe /
by:
(書目-語言資料,印刷品)
The Fermi-Pasta-Ulam Problem = A Status Report /
by:
(書目-語言資料,印刷品)
Polystochastic models for complexity
by:
(書目-語言資料,印刷品)
Dynamics of quasi-stable dissipative systems
by:
(書目-電子資源)
Predictability of chaotic dynamics = a finite-time Lyapunov exponents approach /
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(書目-電子資源)
Deep learning in multi-step prediction of chaotic dynamics = from deterministic models to real-world systems /
by:
(書目-電子資源)
Solution and characteristic analysis of fractional-order chaotic systems
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(書目-電子資源)
Extracting knowledge from time series = an introduction to nonlinear empirical modeling /
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(書目-語言資料,印刷品)
Chaos applications in telecommunications
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(書目-電子資源)
Synchronization of integral and fractional order chaotic systems = a differential algebraic and differential geometric approach with selected applications in real-time /
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(書目-電子資源)
Predictability of chaotic dynamics = a finite-time Lyapunov exponents approach /
by:
(書目-電子資源)
更多
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主題
Mechanics.
Game Theory/Mathematical Methods.
Nonlinear Dynamics.
Complex Systems.
Stochastic analysis.
Environmental Physics.
Signal processing.
Chaotic behavior in systems- Mathematical models.
Artificial Intelligence (incl. Robotics)
Complexity.
Geophysics/Geodesy.
Organizational behavior- Mathematical models.
Mathematical and Computational Physics.
Statistical Physics.
Statistical Physics, Dynamical Systems and Complexity.
Quantitative Finance.
Vibration, Dynamical Systems, Control.
Mathematics.
Mathematical Methods in Physics.
Industrial management- Mathematical models.
Dynamical Systems and Ergodic Theory.
Dynamics- Mathematical models.
Computational Intelligence.
Fractional calculus.
Psychology, Industrial- Mathematical models.
Dynamics.
Partial Differential Equations.
Synergetics.
Telecommunication.
Artificial Intelligence.
Physics.
Engineering.
Classical Continuum Physics.
Deep learning (Machine learning)
Theoretical, Mathematical and Computational Physics.
Industrial safety- Mathematical models.
Nonlinear theories.
Cellular automata.
Applications of Nonlinear Dynamics and Chaos Theory.
Numerical and Computational Physics, Simulation.
Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)
Mathematical Applications in the Physical Sciences.
Mathematical Models of Cognitive Processes and Neural Networks.
Dynamical Systems.
處理中
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