Symbolic planning for industrial applications - the eRobotics approach
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Year
: 2014DOI: 10.1109/BRACIS.2014.69
Keyword(s): Gaussian distribution,Indexes,Oscillators,Standards,Time series analysis,Topology,Training,GNG,LARFSOM,RecSOM,SOM,time-series
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Symbolic planning for industrial applications - the eRobotics approach
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| contributor author | Wantia, N. | |
| contributor author | Losch, D. | |
| contributor author | Rossmann, J. | |
| date accessioned | 2020-03-12T23:34:08Z | |
| date available | 2020-03-12T23:34:08Z | |
| date issued | 2014 | |
| identifier other | 6899352.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1116341?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Symbolic planning for industrial applications - the eRobotics approach | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8285931 | |
| subject keywords | Gaussian distribution | |
| subject keywords | Indexes | |
| subject keywords | Oscillators | |
| subject keywords | Standards | |
| subject keywords | Time series analysis | |
| subject keywords | Topology | |
| subject keywords | Training | |
| subject keywords | GNG | |
| subject keywords | LARFSOM | |
| subject keywords | RecSOM | |
| subject keywords | SOM | |
| subject keywords | time-series | |
| identifier doi | 10.1109/BRACIS.2014.69 | |
| journal title | utomation Science and Engineering (CASE), 2014 IEEE International Conference on | |
| filesize | 756297 | |
| citations | 0 |