A new nonlinear neural network for solving a class of constrained parametric optimization problems
سال
: 2007
چکیده: The paper deals with convex parametric programming problems. In this paper convex parametric programming transform to a neural network model and then we solve neural network model with one of numerical methods. Finally, simple numerical examples are provided for the sake of illustration.
کلیدواژه(گان): Convex parametric programming,Neural networks,Stability
کالکشن
:
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آمار بازدید
A new nonlinear neural network for solving a class of constrained parametric optimization problems
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| contributor author | سهراب عفتی | en |
| contributor author | Sohrab Effati | fa |
| date accessioned | 2020-06-06T13:47:04Z | |
| date available | 2020-06-06T13:47:04Z | |
| date issued | 2007 | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/3368885 | |
| description abstract | The paper deals with convex parametric programming problems. In this paper convex parametric programming transform to a neural network model and then we solve neural network model with one of numerical methods. Finally, simple numerical examples are provided for the sake of illustration. | en |
| language | English | |
| title | A new nonlinear neural network for solving a class of constrained parametric optimization problems | en |
| type | Journal Paper | |
| contenttype | External Fulltext | |
| subject keywords | Convex parametric programming | en |
| subject keywords | Neural networks | en |
| subject keywords | Stability | en |
| journal title | Applied Mathematics and Computation | en |
| journal title | Applied Mathematics and Computation | fa |
| journal volume | 0 | |
| journal issue | 0 | |
| identifier link | https://profdoc.um.ac.ir/paper-abstract-1008501.html | |
| identifier articleid | 1008501 |