Show simple item record

contributor authorLiu, Taiting
contributor authorDai, Yimin
contributor authorLi, Yixin
contributor authorChen, Junchai
contributor authorWang, Wei
date accessioned2026-08-20T12:27:22Z
date available2026-08-20T12:27:22Z
date copyright2026/02/26
date issued2026
identifier otherJSENDH.STENG-15378.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313485
description abstractAbstractThis study presents a novel model that combines higher-order dynamic mode decomposition (HODMD) with a backpropagation neural network (BPNN) for predicting wind pressure on building roofs, termed HODMD-BPNN. Additionally, this paper also optimized ...
publisherAmerican Society of Civil Engineers
titleA New Method for Predicting Wind Pressure Time Series on Low-Rise Building Roofs: Higher-Order Dynamic Mode Decomposition with Back Propagation Neural Network
typeJournal Article
journal volume152
journal issue5
journal titleJournal of Structural Engineering
identifier doi10.1061/JSENDH.STENG-15378
journal fristpage04026045-1
journal lastpage04026045-13
page13
treeJournal of Structural Engineering:;2026:;Volume ( 152 ):;issue: 005
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record