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...
發表在: | AIP Conference Proceedings |
---|---|
主要作者: | 2-s2.0-85166760836 |
格式: | Conference paper |
語言: | English |
出版: |
American Institute of Physics Inc.
2023
|
在線閱讀: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166760836&doi=10.1063%2f5.0117708&partnerID=40&md5=184a297c9ec3bb6eea26c2f3d7094c0d |
相似書籍
-
Systematic Literature Review: Recognition of Human Gait Cycle Using Machine Learning Approach
由: 2-s2.0-85136505986
出版: (2022) -
Predicting fraudulent financial reporting using artificial neural network
由: 2-s2.0-85019490600
出版: (2017) -
A neural network students' performance prediction model (NNSPPM)
由: 2-s2.0-84894188408
出版: (2013) -
Flood prediction using NARX neural network and EKF prediction technique: A comparative study
由: 2-s2.0-84891096883
出版: (2013) -
Artificial Neural Network-Salp-Swarm Algorithm for Stock Price Prediction
由: Mustaffa Z.; Sulaiman M.H.; Aziz A.A.
出版: (2024)