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Attention mechanism fusion neural network for typhoon path prediction
저자
Baiyou Qiao; Yu Wang; Laigang Yao; Donghong Han; Gang Wu
학술지명
Applied Intelligence
출판/발행연도
2024
주제
요약
본 연구는 태풍 경로 예측 모델의 시공간 상관관계 특징 추출 능력 부족 및 다양한 차원 특징의 중요도 고려 부족 문제를 해결하기 위해 어텐션 메커니즘 기반 퓨전 신경망 모델을 제안합니다. 제안하는 모델은 R-TCN을 사용하여 태풍 궤적 데이터에서 시간 의존적 특징을 추출하고, AT-ResNeXt-50을 통해 대기 데이터 이미지 채널 간 위치 어텐션을 획득하여 시공간 특징 추출 능력을 향상시킵니다.
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