Role of positive ions on the surface production of negative ions in a fusion plasma reactor type negative ion source—Insights from a 3D Particle-In-Cell Monte Carlo Collisions model
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: 2014DOI: 10.1109/FUZZ-IEEE.2014.6891527
Keyword(s): electronic commerce,n fuzzy neural nets,n fuzzy reasoning,n purchasing,n search problems,n C2C market,n Taobao,n decision-makers,n e-commerce,n global economy,n online trade growth prediction,n online transactions,n purchasing transactions,n regression analysis method,n search index prediction system,n search-ANFIS model,n Accuracy,n Adaptation models,n Benchmark testing,n Data models,n Indexes,n Predictive models,n Training
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Role of positive ions on the surface production of negative ions in a fusion plasma reactor type negative ion source—Insights from a 3D Particle-In-Cell Monte Carlo Collisions model
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| contributor author | Fubiani, G. | |
| contributor author | Boeuf, J.P. | |
| date accessioned | 2020-03-12T22:29:57Z | |
| date available | 2020-03-12T22:29:57Z | |
| date issued | 2014 | |
| identifier other | 7012438.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1085084?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Role of positive ions on the surface production of negative ions in a fusion plasma reactor type negative ion source—Insights from a 3D Particle-In-Cell Monte Carlo Collisions model | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8222451 | |
| subject keywords | electronic commerce | |
| subject keywords | n fuzzy neural nets | |
| subject keywords | n fuzzy reasoning | |
| subject keywords | n purchasing | |
| subject keywords | n search problems | |
| subject keywords | n C2C market | |
| subject keywords | n Taobao | |
| subject keywords | n decision-makers | |
| subject keywords | n e-commerce | |
| subject keywords | n global economy | |
| subject keywords | n online trade growth prediction | |
| subject keywords | n online transactions | |
| subject keywords | n purchasing transactions | |
| subject keywords | n regression analysis method | |
| subject keywords | n search index prediction system | |
| subject keywords | n search-ANFIS model | |
| subject keywords | n Accuracy | |
| subject keywords | n Adaptation models | |
| subject keywords | n Benchmark testing | |
| subject keywords | n Data models | |
| subject keywords | n Indexes | |
| subject keywords | n Predictive models | |
| subject keywords | n Training | |
| identifier doi | 10.1109/FUZZ-IEEE.2014.6891527 | |
| journal title | lasma Sciences (ICOPS) held with 2014 IEEE International Conference on High-Power Particle Beams (BE | |
| filesize | 48585 | |
| citations | 0 |