| Original language | Korean |
|---|---|
| Pages (from-to) | 291 |
| Journal | 무역학회지 |
| Volume | 47 |
| State | Published - 2022 |
시계열 데이터를 활용한 포항항 물동량 예측: SARIMA, Prophet, Neural Prophet의 적용
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
| Original language | Korean |
|---|---|
| Pages (from-to) | 291 |
| Journal | 무역학회지 |
| Volume | 47 |
| State | Published - 2022 |