| contributor author | R. Balasubramanian | |
| contributor author | A. M. Sharan | |
| date accessioned | 2017-05-08T23:49:31Z | |
| date available | 2017-05-08T23:49:31Z | |
| date copyright | December, 1996 | |
| date issued | 1996 | |
| identifier issn | 0022-0434 | |
| identifier other | JDSMAA-26230#784_1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/116613 | |
| description abstract | In this work, a new algorithm called LP-Neuro method is developed to solve artificial neural network problems. In this algorithm, the weights are obtained by a combination of linear programming having a sparse coefficient matrix and a single variable nonlinear optimization routine. The results are illustrated by solving three different problems, two of which are useful in the on-line control of robotic manipulators. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | LP-Neuro Method—A New Approach for Solving Neural Network Problems | |
| type | Journal Paper | |
| journal volume | 118 | |
| journal issue | 4 | |
| journal title | Journal of Dynamic Systems, Measurement, and Control | |
| identifier doi | 10.1115/1.2802357 | |
| journal fristpage | 784 | |
| journal lastpage | 785 | |
| identifier eissn | 1528-9028 | |
| tree | Journal of Dynamic Systems, Measurement, and Control:;1996:;volume( 118 ):;issue: 004 | |
| contenttype | Fulltext | |
