Multimodal regression and mode recognition via an integrated deep neural network-Reference-Cited by-同舟云学术

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Multimodal regression and mode recognition via an integrated deep neural network

Published:2023-08-11 Issue: Volume: Page:1-17
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Wang Di¹^ORCID,Song Changyue²^ORCID,Zhang Xi³^ORCID

Affiliation:

1. Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

2. School of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, USA

3. Department of Industrial Engineering and Management, Peking University, Beijing, China

Funder

National Natural Science Foundation of China

National Science Foundation of Shanghai

Shanghai Chenguang Program

Shanghai Sailing Program

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2023.2223245

Reference43 articles.

1. Efficient surrogate models for reliability analysis of systems with multiple failure modes

2. Fusing physics-based and deep learning models for prognostics

3. Backpropagation

4. Understanding and control of interactions between carbon nanotubes and polymers for manufacturing of high-performance composite materials

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