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天體光譜數(shù)據(jù)挖掘與分析

天體光譜數(shù)據(jù)挖掘與分析

定 價(jià):¥49.00

作 者: 楊海峰
出版社: 電子工業(yè)出版社
叢編項(xiàng):
標(biāo) 簽: 計(jì)算機(jī)/網(wǎng)絡(luò) 數(shù)據(jù)倉(cāng)庫(kù)與數(shù)據(jù)挖掘 數(shù)據(jù)庫(kù)

ISBN: 9787121307683 出版時(shí)間: 2016-12-01 包裝: 平塑
開本: 頁(yè)數(shù): 176 字?jǐn)?shù):  

內(nèi)容簡(jiǎn)介

  隨著LAMOST正式巡天的實(shí)施,已成功獲取600萬條天體光譜以及星表,并每天以海量的數(shù)字增長(zhǎng)著,對(duì)長(zhǎng)期傳統(tǒng)的人工分析、人眼證認(rèn)等任務(wù)帶來了巨大挑戰(zhàn)。本書以河外星系和恒星光譜為研究背景,針對(duì)天文學(xué)研究中稀有天體的特征分析以及天體光譜的分類等任務(wù),將新興的數(shù)據(jù)挖掘技術(shù)應(yīng)用到天體光譜規(guī)律的發(fā)現(xiàn)和研究中,并從天文物理學(xué)角度對(duì)挖掘結(jié)果進(jìn)一步分析。主要包括稀有、離群天體光譜的搜尋與分析、天體光譜分類方法與分析兩個(gè)方面的內(nèi)容。

作者簡(jiǎn)介

  楊海峰,博士,太原科技大學(xué)計(jì)算機(jī)學(xué)院副教授,研究方向:人工智能與數(shù)據(jù)挖掘、河外星系光譜分析。近年來主持和參與國(guó)家級(jí)、省部級(jí)科研項(xiàng)目多項(xiàng),發(fā)表學(xué)術(shù)論文近30多篇,其中SCI收錄18篇。

圖書目錄

第1 章 緒論······················································································ 1
1.1 天體光譜·············································································· 1
1.1.1 LAMOST 光譜巡天·························································· 2
1.1.2 SDSS 光譜巡天································································ 5
1.1.3 光譜分析········································································ 6
1.2 數(shù)據(jù)挖掘·············································································· 7
1.2.1 產(chǎn)生和定義····································································· 7
1.2.2 數(shù)據(jù)挖掘任務(wù)與分類······················································ 10
1.2.3 主要應(yīng)用······································································ 12
1.3 海量天體光譜數(shù)據(jù)挖掘······················································ 14
1.3.1 分類············································································ 14
1.3.2 聚類及離群分析···························································· 17
1.3.3 關(guān)聯(lián)規(guī)則······································································ 19
1.3.4 恒星大氣參數(shù)測(cè)量························································· 20
1第2 章 基于模糊識(shí)別的雙紅移系統(tǒng)星系光譜搜尋與分析·············· 24
2.1 引言···················································································· 25
2.2 基于模糊識(shí)別的搜尋方法·················································· 27
2.2.1 樣本選擇······································································ 27
2.2.2 方法描述······································································ 28
2.3 結(jié)果分析············································································ 35
2.3.1 SDSS DR9 和LAMOST DR1 中SGPs 樣本························· 35
2.3.2 光譜與圖像分析···························································· 39
2.3.3 塵埃消光測(cè)量································································ 48
2.4 討論···················································································· 51
第3 章 稀有光譜檢索的PU 學(xué)習(xí)方法············································ 53
3.1 問題提出············································································ 54
3.2 二部排序模型····································································· 56
3.2.1 TopPush 方法································································ 57
3.2.2 面向稀有光譜檢索的BaggingTopPush 方法························ 58
3.3 實(shí)驗(yàn)設(shè)計(jì)············································································ 59
3.3.1 樣本選擇······································································ 60
3.3.2 實(shí)驗(yàn)設(shè)置······································································ 61
3.3.3 評(píng)價(jià)指標(biāo)······································································ 64
3.4 結(jié)果分析············································································ 65
3.4.1 排序效果······································································ 65
3.4.2 排序效率······································································ 72
3.4.3 參數(shù)敏感性··································································· 74
3.5 討論···················································································· 76
第4 章 E+A 星系搜尋與分析·························································· 78
4.1 問題提出············································································ 78
4.2 E+A 星系光譜搜尋方法······················································ 80
4.2.1 樣本選擇—LAMOST 數(shù)據(jù)集········································· 80
4.2.2 搜尋方法······································································ 80
4.2.3 近鄰E+A 星系星表························································ 83
4.3 結(jié)果分析············································································ 87
4.3.1 樣本分布特征································································ 87
4.3.2 星族合成分析································································ 90
4.3.3 圖像分析······································································ 92
4.4 討論···················································································· 95
第5 章 基于貝葉斯支持向量機(jī)的光譜分類方法····························· 98
5.1 問題提出············································································ 98
5.2 基于貝葉斯支持向量機(jī)的分類方法·································· 100
5.2.1 支持向量機(jī)······

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