A novel approach to predict network reliability for multistate networks by a deep neural network-Reference-Cited by-同舟云学术

A novel approach to predict network reliability for multistate networks by a deep neural network

Published:2021-10-12 Issue: Volume: Page:1-17
ISSN:1684-3703
Container-title:Quality Technology & Quantitative Management
language:en
Short-container-title:Quality Technology & Quantitative Management

Author:

Huang Cheng-Hao¹,Huang Ding-Hsiang¹,Lin Yi-Kuei¹²³⁴^ORCID

Affiliation:

1. Department of Industrial Engineering and Management, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

2. Department of Business Administration, Asia University, Taichung, Taiwan

3. Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan

4. Department of Industrial Engineering and Management, Chaoyang University of Technology, Taichung, Taiwan

Funder

Ministry of Science and Technology, Taiwan

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Information Systems and Management,Management Science and Operations Research,Industrial relations,Business and International Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/16843703.2021.1992072

Reference44 articles.

1. Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals

2. A General Neural Network Model for Estimating Telecommunications Network Reliability

3. Hyperparameter Optimization in Convolutional Neural Network using Genetic Algorithms

4. Search for all d-MPs for all d levels in multistate two-terminal networks

5. Adaptive subset searching-based deep neural network method for structural reliability analysis

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