Automatic generation of geometric base sequences

Rui Ling, Yuan-jun He, Kairen Deng
{"title":"Automatic generation of geometric base sequences","authors":"Rui Ling, Yuan-jun He, Kairen Deng","doi":"10.1109/PIC.2010.5687899","DOIUrl":null,"url":null,"abstract":"How to use computers to effectively solve geometric computation problems is one important focus in the development of geometry. In this paper, we introduce a new method to solve geometric problems with a geometric method. We establish a set of geometric bases and generate sequences of these geometric bases automatically with forward-reasoning. The geometric base sequence is a new description of the solution of geometric problems which is more readable than the solution generated by algebra methods. Moreover, we modify the hidden Markov chain model to avoid information explosion. Experimental results indicate that our method can be used to generate the sequences efficiently.","PeriodicalId":142910,"journal":{"name":"2010 IEEE International Conference on Progress in Informatics and Computing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Progress in Informatics and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIC.2010.5687899","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

How to use computers to effectively solve geometric computation problems is one important focus in the development of geometry. In this paper, we introduce a new method to solve geometric problems with a geometric method. We establish a set of geometric bases and generate sequences of these geometric bases automatically with forward-reasoning. The geometric base sequence is a new description of the solution of geometric problems which is more readable than the solution generated by algebra methods. Moreover, we modify the hidden Markov chain model to avoid information explosion. Experimental results indicate that our method can be used to generate the sequences efficiently.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
自动生成几何碱基序列
如何利用计算机有效地解决几何计算问题是几何学科发展的一个重要方向。本文介绍了一种用几何方法求解几何问题的新方法。我们建立了一组几何基,并利用前向推理自动生成这些几何基的序列。几何基序列是对几何问题解的一种新的描述,比代数方法生成的解更具可读性。此外,我们对隐马尔可夫链模型进行了修正,以避免信息爆炸。实验结果表明,该方法可以有效地生成序列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Data compression of multispectral images for FY-2C geostationary meteorological satellite Redundant De Bruijn graph based location and routing for large-scale peer-to-peer system Content semantic filter based on Domain Ontology An isolated word recognition system based on DSP and improved dynamic time warping algorithm Research on Logistics Carbon Footprint Analysis System
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1