Name
Abstract | ||
|---|---|---|
With the development of new computing paradigms, such as neural networks and genetic algorithms, new tools have become available in computer-aided systems theory. These tools can be used to tackle problems that are considered “hard” in traditional systems theory, like the modeling and identification of nonlinear dynamical systems. |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1007/BFb0034768 | EUROCAST |
Keywords | Field | DocType |
hybrid evolutionary programming,evolutionary programming,system theory,genetic algorithm,neural network | Functional reactive programming,Evolutionary acquisition of neural topologies,Systems theory,Computer science,Inductive programming,Theoretical computer science,Genetic programming,Genetic representation,Evolutionary programming,Genetic algorithm | Conference |
ISBN | Citations | PageRank |
3-540-60748-X | 1 | 0.48 |
References | Authors | |
5 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Witold Jacak | 1 | 65 | 13.79 |
| Stephan Dreiseitl | 2 | 338 | 34.80 |