Neural network approach to ECT inverse problem solving for estimation of gravitational solids flow
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: 2014DOI: 10.1109/IGARSS.2014.6946573
Keyword(s): archaeology,geographic information systems,terrain mapping,Geographic Information Science technology,archaeological maps,archaeological recognition,continuous maps,economic variables,elevation data,low representative site location datasets,past human activity mapping,social variables,spatial models,statistical algorithms,Analytical models,Data models,Educational institutions,Indexes,Lakes,Spatial databases,Standards,Archaeological datasets,CART,machine learning,predictive
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Neural network approach to ECT inverse problem solving for estimation of gravitational solids flow
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| contributor author | Garbaa, H. | |
| contributor author | Jackowska-Strumillo, L. | |
| contributor author | Grudzien, K. | |
| contributor author | Romanowski, A. | |
| date accessioned | 2020-03-12T21:17:28Z | |
| date available | 2020-03-12T21:17:28Z | |
| date issued | 2014 | |
| identifier other | 6932992.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1043688 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Neural network approach to ECT inverse problem solving for estimation of gravitational solids flow | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8171791 | |
| subject keywords | archaeology | |
| subject keywords | geographic information systems | |
| subject keywords | terrain mapping | |
| subject keywords | Geographic Information Science technology | |
| subject keywords | archaeological maps | |
| subject keywords | archaeological recognition | |
| subject keywords | continuous maps | |
| subject keywords | economic variables | |
| subject keywords | elevation data | |
| subject keywords | low representative site location datasets | |
| subject keywords | past human activity mapping | |
| subject keywords | social variables | |
| subject keywords | spatial models | |
| subject keywords | statistical algorithms | |
| subject keywords | Analytical models | |
| subject keywords | Data models | |
| subject keywords | Educational institutions | |
| subject keywords | Indexes | |
| subject keywords | Lakes | |
| subject keywords | Spatial databases | |
| subject keywords | Standards | |
| subject keywords | Archaeological datasets | |
| subject keywords | CART | |
| subject keywords | machine learning | |
| subject keywords | predictive | |
| identifier doi | 10.1109/IGARSS.2014.6946573 | |
| journal title | omputer Science and Information Systems (FedCSIS), 2014 Federated Conference on | |
| filesize | 956226 | |
| citations | 0 |