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A relation based algorithm for solving direct current circuit problems

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成果类型:
期刊论文
作者:
He, Bin;Yu, Xinguo(余新国);Jian, Pengpeng;Zhang, Ting*
通讯作者:
Zhang, Ting
作者机构:
[Yu, Xinguo; He, Bin; Zhang, Ting; Jian, Pengpeng] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
通讯机构:
[Zhang, Ting] C
Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Problem solving;Relation acquisition;Syntax-semantics model;Schematics understanding;Unit-theorem inference
期刊:
Applied Intelligence
ISSN:
0924-669X
年:
2020
卷:
50
期:
7
页码:
2293-2309
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China [61977029]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [2019 M652678]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [CCNU19QN036]
机构署名:
本校为第一且通讯机构
院系归属:
国家数字化学习工程技术研究中心
摘要:
This paper addresses the challenging problem of developing the automatic algorithm for solving direct current circuit problem. Leveraging on the innovated methods it proposes a high-performance relation based algorithm, called RaDCC. The challenges of the problem lie in relation acquisition and relation inference presentation after adopting the newly-established relation principle of solving problems. A high-performance procedure is developed for the challenging task of relation acquisition by leveraging on three innovated methods. Three method...

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