Feasibility Study on the Use of Dynamic Neural Networks (DNN’s) for Modeling a Variable Displacement Load Sensing Pump
Year
: 2006DOI: 10.1115/IMECE2006-15588
Collections
:
-
Statistics
Feasibility Study on the Use of Dynamic Neural Networks (DNN’s) for Modeling a Variable Displacement Load Sensing Pump
Show full item record
| contributor author | Leslie Li | |
| contributor author | Richard Burton | |
| contributor author | Greg Schoenau | |
| date accessioned | 2020-03-13T02:20:38Z | |
| date available | 2020-03-13T02:20:38Z | |
| date issued | 2006 | |
| identifier other | 6VU8yLyYzyy6kcSECOoCy6uqVanBmTUpIj_NO6QkT22__Vr77P.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1176104 | |
| format | general | |
| language | English | |
| title | Feasibility Study on the Use of Dynamic Neural Networks (DNN’s) for Modeling a Variable Displacement Load Sensing Pump | |
| type | Journal Paper | |
| contenttype | Fulltext | |
| contenttype | Fulltext | |
| identifier padid | 8525160 | |
| identifier doi | 10.1115/IMECE2006-15588 | |
| journal title | Fluid Power Systems and Technology | |
| coverage | Academic | |
| filesize | 423976 | |
| citations | 1 |