Name
Abstract | ||
|---|---|---|
This review is devoted to the computational methods and tools for modeling and analysis of various complex processes in physics, medicine, social dynamics and nature. We consider: 1) the multivariate data analysis based on Ω n k -criteria and artificial neural networks (ANN), 2) the applications of neural networks for the function approximation and for the reconstruction and prediction of chaotic time series, and 3) the use of cellular automata (CA) in pattern recognition and in modeling of complex dynamical systems. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/978-1-4471-0313-4_2 | UMC |
Keywords | Field | DocType |
complex processes,compuatational methods | Cellular automaton,Function approximation,Theoretical computer science,Dynamical systems theory,Social dynamics,Artificial neural network,Chaotic | Conference |
ISBN | Citations | PageRank |
1-85233-415-0 | 0 | 0.34 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ioannis Antoniou | 1 | 60 | 12.93 |
| Viktor V. Ivanov | 2 | 0 | 0.68 |