A Novel Optimization-Based Convolution Neural Network to Estimate the Contribution of Sensory Inputs to Postural Stability During Quiet Standing-Reference-Cited by-同舟云学术

A Novel Optimization-Based Convolution Neural Network to Estimate the Contribution of Sensory Inputs to Postural Stability During Quiet Standing

Author:

Choi Ahnryul¹,Park Euyhyun²,Kim Tae Hyong³^ORCID,Im Gi Jung²,Mun Joung Hwan³^ORCID

Affiliation:

1. Department of Biomedical Engineering, Catholic Kwandong University, Gangneung, Gangwon, Korea

2. Department of Otorhinolaryngology-Head and Neck Surgery, Korea University College of Medicine, Seoul, Korea

3. Department of Bio-Mechatronic Engineering, Sungkyunkwan University, Suwon, Gyeonggi, Korea

Funder

National Research Foundation of Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

Reference43 articles.

3. Algorithms for hyper-parameter optimization;bergstra;Proc Neural Inf Process Syst,0

4. Practical Bayesian optimization of machine learning algorithms;snoek;Proc Neural Inf Process Syst,0

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