Geographical Simulation Modeling for evaluating logistics infrastructure: A model for the ASEAN Economic Community
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: 2014DOI: 10.1109/CCECE.2014.6900991
Keyword(s): adaptive filters,n autoregressive moving average processes,n genetic algorithms,n least mean squares methods,n 6-bit wordlength,n ARMA model,n GA,n LMS,n adaptive filtering application,n auto regressive moving average model,n genetic algorithms,n hardware implementation,n least mean square,n very low bit-wordlength fixed-point arithmetic,n Adaptive filters,n Biological cells,n Convergence,n Genetic algorithms,n Least squares approximations
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Geographical Simulation Modeling for evaluating logistics infrastructure: A model for the ASEAN Economic Community
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| contributor author | Thiengburanathum, P. | |
| contributor author | Banomyong, R. | |
| contributor author | Pattamaroj, K. | |
| contributor author | Kumagai, S. | |
| date accessioned | 2020-03-12T22:41:41Z | |
| date available | 2020-03-12T22:41:41Z | |
| date issued | 2014 | |
| identifier other | 7020165.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1091453?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Geographical Simulation Modeling for evaluating logistics infrastructure: A model for the ASEAN Economic Community | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8230271 | |
| subject keywords | adaptive filters | |
| subject keywords | n autoregressive moving average processes | |
| subject keywords | n genetic algorithms | |
| subject keywords | n least mean squares methods | |
| subject keywords | n 6-bit wordlength | |
| subject keywords | n ARMA model | |
| subject keywords | n GA | |
| subject keywords | n LMS | |
| subject keywords | n adaptive filtering application | |
| subject keywords | n auto regressive moving average model | |
| subject keywords | n genetic algorithms | |
| subject keywords | n hardware implementation | |
| subject keywords | n least mean square | |
| subject keywords | n very low bit-wordlength fixed-point arithmetic | |
| subject keywords | n Adaptive filters | |
| subject keywords | n Biological cells | |
| subject keywords | n Convergence | |
| subject keywords | n Genetic algorithms | |
| subject keywords | n Least squares approximations | |
| identifier doi | 10.1109/CCECE.2014.6900991 | |
| journal title | imulation Conference (WSC), 2014 Winter | |
| filesize | 530032 | |
| citations | 0 |