Fabrication and characterization of ECM memories based on a Ge<inf>2</inf>Sb<inf>2</inf>Te<inf>5</inf> solid electrolyte
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سال
: 2014شناسه الکترونیک: 10.1109/CIPECH.2014.7019040
کلیدواژه(گان): atmospheric precipitation,gradient methods,humidity,least squares approximations,power grids,regression analysis,solar power,Oklahoma,United State,air pressure,gradient boosting regression,humidity,linear least square regression,power grid,precipitation,solar energy forecasting,solar energy prediction,Atmospheric modeling,Boosting,Computational intelligence,Computational modeling,Meteorology,Predictive models,Solar energy,Computational Intelligence,Prediction,Regression
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آمار بازدید
Fabrication and characterization of ECM memories based on a Ge<inf>2</inf>Sb<inf>2</inf>Te<inf>5</inf> solid electrolyte
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| date accessioned | 2020-03-12T20:28:43Z | |
| date available | 2020-03-12T20:28:43Z | |
| date issued | 2014 | |
| identifier other | 6872754.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1016037 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Fabrication and characterization of ECM memories based on a Ge<inf>2</inf>Sb<inf>2</inf>Te<inf>5</inf> solid electrolyte | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8139807 | |
| subject keywords | atmospheric precipitation | |
| subject keywords | gradient methods | |
| subject keywords | humidity | |
| subject keywords | least squares approximations | |
| subject keywords | power grids | |
| subject keywords | regression analysis | |
| subject keywords | solar power | |
| subject keywords | Oklahoma | |
| subject keywords | United State | |
| subject keywords | air pressure | |
| subject keywords | gradient boosting regression | |
| subject keywords | humidity | |
| subject keywords | linear least square regression | |
| subject keywords | power grid | |
| subject keywords | precipitation | |
| subject keywords | solar energy forecasting | |
| subject keywords | solar energy prediction | |
| subject keywords | Atmospheric modeling | |
| subject keywords | Boosting | |
| subject keywords | Computational intelligence | |
| subject keywords | Computational modeling | |
| subject keywords | Meteorology | |
| subject keywords | Predictive models | |
| subject keywords | Solar energy | |
| subject keywords | Computational Intelligence | |
| subject keywords | Prediction | |
| subject keywords | Regression | |
| identifier doi | 10.1109/CIPECH.2014.7019040 | |
| journal title | icroelectronics and Electronics (PRIME), 2014 10th Conference on Ph.D. Research in | |
| filesize | 1127409 | |
| citations | 0 | |
| contributor rawauthor | Rebora, C. , Bocquet, M. , Ouled-Khachroum, T. , Putero, M. , Deleruyelle, D. |