An experimental-theoretical atomic-scale study - in situ analysis of III–V on Si(100) growth for hybrid solar cells
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: 2014DOI: 10.1109/MECHATRONIKA.2014.7018347
Keyword(s): DC motors,autoregressive processes,conjugate gradient methods,machine vector control,minimisation,neurocontrollers,nonparametric statistics,permanent magnet motors,recurrent neural nets,NARX network,artificial neural network,dynamic behavior identification method,dynamic model,error function minimization,hidden layers,network architecture,nonlinear autoregressive network with exogenous inputs network,nonparametric method,parallel architecture,permanent magnet DC motor identifi
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An experimental-theoretical atomic-scale study - in situ analysis of III–V on Si(100) growth for hybrid solar cells
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| contributor author | Supplie, O. | |
| contributor author | Bruckner, S. | |
| contributor author | Romanyuk, O. | |
| contributor author | May, M.M. | |
| contributor author | Doscher, H. | |
| contributor author | Kleinschmidt, P. | |
| contributor author | Stange, H. | |
| contributor author | Dobrich, A. | |
| contributor author | Hohn, C. | |
| contributor author | Lewerenz, H.-J. | |
| contributor author | Grosse, F. | |
| contributor author | Hannappel, T. | |
| date accessioned | 2020-03-12T21:07:09Z | |
| date available | 2020-03-12T21:07:09Z | |
| date issued | 2014 | |
| identifier other | 6925510.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1037616?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | An experimental-theoretical atomic-scale study - in situ analysis of III–V on Si(100) growth for hybrid solar cells | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8163974 | |
| subject keywords | DC motors | |
| subject keywords | autoregressive processes | |
| subject keywords | conjugate gradient methods | |
| subject keywords | machine vector control | |
| subject keywords | minimisation | |
| subject keywords | neurocontrollers | |
| subject keywords | nonparametric statistics | |
| subject keywords | permanent magnet motors | |
| subject keywords | recurrent neural nets | |
| subject keywords | NARX network | |
| subject keywords | artificial neural network | |
| subject keywords | dynamic behavior identification method | |
| subject keywords | dynamic model | |
| subject keywords | error function minimization | |
| subject keywords | hidden layers | |
| subject keywords | network architecture | |
| subject keywords | nonlinear autoregressive network with exogenous inputs network | |
| subject keywords | nonparametric method | |
| subject keywords | parallel architecture | |
| subject keywords | permanent magnet DC motor identifi | |
| identifier doi | 10.1109/MECHATRONIKA.2014.7018347 | |
| journal title | hotovoltaic Specialist Conference (PVSC), 2014 IEEE 40th | |
| filesize | 2784039 | |
| citations | 1 |