The effect of network depth in neural network for human gait cycle prediction

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The effect of network depth in neural network for human gait cycle prediction

Artificial neural networks were implemented satisfactorily to assess gait events from various walking data. This research is to study the suitable network depth in neural network technique for developing human gait cycle prediction model using artificial neural network. Gait dataset is retrieved fro...

書誌詳細
出版年:	AIP Conference Proceedings
第一著者:	2-s2.0-85166760836
フォーマット:	Conference paper
言語:	English
出版事項:	American Institute of Physics Inc. 2023
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166760836&doi=10.1063%2f5.0117708&partnerID=40&md5=184a297c9ec3bb6eea26c2f3d7094c0d

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