Neural networks as nonlinear compensator models for digital communication systems
| contributor author | Solovyeva, E.B. | |
| date accessioned | 2020-03-12T23:27:54Z | |
| date available | 2020-03-12T23:27:54Z | |
| date issued | 2014 | |
| identifier other | 6893342.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1112621?show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Neural networks as nonlinear compensator models for digital communication systems | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8281560 | |
| subject keywords | Accuracy | |
| subject keywords | Probabilistic logic | |
| subject keywords | Semantics | |
| subject keywords | TV | |
| subject keywords | Vectors | |
| subject keywords | Visualization | |
| subject keywords | Vocabulary | |
| subject keywords | Hypergraph | |
| subject keywords | Image Annotation | |
| subject keywords | Image Classification | |
| subject keywords | Probabilistic Latent Semantic Analysis (PLSA) | |
| subject keywords | Recommender systems | |
| identifier doi | 10.1109/ICIP.2014.7025607 | |
| journal title | omputer Technologies in Physical and Engineering Applications (ICCTPEA), 2014 International Conferen | |
| filesize | 236030 | |
| citations | 0 |
Files in this item
| Files | Size | Format | View |
|---|---|---|---|
|
There are no files associated with this item. |
|||