Name
Abstract | ||
|---|---|---|
This work is to discuss the identification problem of distributed parameter systems given by Hopfield-type neural network equations using classical optimal control theory. More rationally, we consider diffusion term in our model different from other models, in which the parameters appearing in diffusion term, linear term and nonlinear term. We prove the existence of optimal parameters and state the necessary conditions on optimizing parameters for the output error criterion give by quadratic cost. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/S0096-3003(03)00575-7 | Applied Mathematics and Computation |
Keywords | Field | DocType |
identification problems,optimal parameters,distributed hopfield-type neural networks,necessary condition for optimality,distributed parameter system,optimal control theory,neural network | Mathematical optimization,Nonlinear system,Optimal control,Quadratic cost,Distributed parameter system,Artificial neural network,System identification,Numerical analysis,Mathematics,Parameter identification problem | Journal |
Volume | Issue | ISSN |
152 | 2 | Applied Mathematics and Computation |
Citations | PageRank | References |
1 | 0.40 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Quan-Fang Wang | 1 | 34 | 8.07 |
| Dexing Feng | 2 | 24 | 4.82 |
| Daizhan Cheng | 3 | 2923 | 235.27 |