An Artificial Intelligence Technology Based Algorithm for Solving Mechanics Problems-Reference-Cited by-同舟云学术

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An Artificial Intelligence Technology Based Algorithm for Solving Mechanics Problems

Published:2022 Issue: Volume:10 Page:92971-92985
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhang Jiarong¹,Yuan Jinsha¹^ORCID,Xu Jianing²

Affiliation:

1. Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, China

2. Power Dispatching Control Center, State Grid Fuxin Power Supply Company, Fuxin, China

Funder

Fundamental Research Business Expenses of Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09874871.pdf?arnumber=9874871

Reference35 articles.

1. Conditional random fields: Probabilistic models for segmenting and labeling sequence data;lafferty;Proc 18th Int Conf Mach Learn,2001

2. Long Short-Term Memory

3. Bidirectional LSTM-CRF models for sequence tagging;huang;arXiv 1508 01991,2015

4. Attention is all you need;vaswani;arXiv 1706 03762,2017

5. Adam: A method for stochastic optimization;kingma;arXiv 1412 6980,2014

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. Multi-Meta Information Embedding Enhanced BERT for Chinese Mechanics Entity Recognition;Applied Sciences;2023-10-15

2. Perspective: Large Language Models in Applied Mechanics;Journal of Applied Mechanics;2023-07-17

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