Hybrid neural networks for gasoline blending system modeling
نویسنده:
ناشر:
سال
: 2014شناسه الکترونیک: 10.1109/PVSC.2014.6925488
کلیدواژه(گان): cadmium compounds,copper compounds,gallium compounds,indium compounds,recycling,solar cells,CdTe,Cu(GaIn)Se,PV systems,Si,broken solar cells,crystalline silicon silver,economic PV waste recycling,end-of-life strategy,float glass production,integrated approach,law encouraging closed-loop economy,patterned silicon wafers,photovoltaic cells,photovoltaic manufacturing waste,photovoltaic panel,production scrap,rare metals,raw materials,thin film photovoltaic waste,universal r
کالکشن
:
-
آمار بازدید
Hybrid neural networks for gasoline blending system modeling
Show full item record
| contributor author | Wen Yu , Xiaoou Li | |
| date accessioned | 2020-03-12T23:23:51Z | |
| date available | 2020-03-12T23:23:51Z | |
| date issued | 2014 | |
| identifier other | 6889480.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1110023 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Hybrid neural networks for gasoline blending system modeling | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8278694 | |
| subject keywords | cadmium compounds | |
| subject keywords | copper compounds | |
| subject keywords | gallium compounds | |
| subject keywords | indium compounds | |
| subject keywords | recycling | |
| subject keywords | solar cells | |
| subject keywords | CdTe | |
| subject keywords | Cu(GaIn)Se | |
| subject keywords | PV systems | |
| subject keywords | Si | |
| subject keywords | broken solar cells | |
| subject keywords | crystalline silicon silver | |
| subject keywords | economic PV waste recycling | |
| subject keywords | end-of-life strategy | |
| subject keywords | float glass production | |
| subject keywords | integrated approach | |
| subject keywords | law encouraging closed-loop economy | |
| subject keywords | patterned silicon wafers | |
| subject keywords | photovoltaic cells | |
| subject keywords | photovoltaic manufacturing waste | |
| subject keywords | photovoltaic panel | |
| subject keywords | production scrap | |
| subject keywords | rare metals | |
| subject keywords | raw materials | |
| subject keywords | thin film photovoltaic waste | |
| subject keywords | universal r | |
| identifier doi | 10.1109/PVSC.2014.6925488 | |
| journal title | eural Networks (IJCNN), 2014 International Joint Conference on | |
| filesize | 4265003 | |
| citations | 0 |