An improved memory networks based product model classification method-Reference-Cited by-同舟云学术

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An improved memory networks based product model classification method

Published:2021-01-17 Issue:3 Volume:34 Page:293-306
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Jian Chengfeng¹^ORCID,Liang Lingming¹,Qiu Keyi¹,Zhang Meiyu¹

Affiliation:

1. Computer Science and Technology College, Zhejiang University of Technology, Hangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2021.1872102

Reference22 articles.

1. MVCNN++: Computer-Aided Design Model Shape Classification and Retrieval Using Multi-View Convolutional Neural Networks

2. AI-based Computer Aided Engineering for automated product design - A first approach with a Multi-View based classification

3. Let the robot tell: Describe car image with natural language via LSTM

4. Classification and selection of sheet forming processes with machine learning

5. Speaker-Independent Silent Speech Recognition From Flesh-Point Articulatory Movements Using an LSTM Neural Network

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Shape and Context-Based Recognition of Standard Mechanical Parts in CAD Models;Computer-Aided Design;2023-02

2. Automated retrieval and comparison of sheet metal parts;International Journal of Computer Integrated Manufacturing;2023-01-16

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