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多傳感器數(shù)據(jù)智能融合理論與應(yīng)用
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本書知識點明確、結(jié)構(gòu)緊湊、思路清晰,通過理論與實例結(jié)合的方式,深入淺出地介紹了多傳感器數(shù)據(jù)智能融合的理論與應(yīng)用技術(shù)。全書共11章,包括多傳感器數(shù)據(jù)融合概述、數(shù)據(jù)融合結(jié)構(gòu)與算法概論、貝葉斯推理方法、證據(jù)理論算法與數(shù)據(jù)融合、模糊理論及其在數(shù)據(jù)融合中的應(yīng)用、人工神經(jīng)網(wǎng)絡(luò)與數(shù)據(jù)融合算法、遺傳算法及其在數(shù)據(jù)融合中的應(yīng)用、粒子群算法及其在數(shù)據(jù)融合中的應(yīng)用、智能視頻監(jiān)控系統(tǒng)的數(shù)據(jù)融合算法、深度學習及其在數(shù)據(jù)融合中的應(yīng)用、多傳感器數(shù)據(jù)融合機器人平臺的設(shè)計與實現(xiàn)。每個章節(jié)中都配有必要的實例,目的在于讓讀者結(jié)合實例更加快捷地掌握多傳感器數(shù)據(jù)智能融合方法的設(shè)計與實現(xiàn)。本書面向大專院校與科研機構(gòu)中學習多傳感器數(shù)據(jù)智能融合理論的中、高級用戶,以及對該理論有一定基礎(chǔ)的工程技術(shù)人員,旨在幫助讀者快速掌握智能數(shù)據(jù)融合算法設(shè)計與實現(xiàn)的技巧和方法,強調(diào)對高年級大學生、研究生的實踐能力培養(yǎng)。

戴亞平 馬俊杰 王笑涵編著 ·自動化 ·9.9萬字

Mastering Text Mining with R
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Mastertext-tamingtechniquesandbuildeffectivetext-processingapplicationswithRAboutThisBook?Developalltherelevantskillsforbuildingtext-miningappswithRwiththiseasy-to-followguide?Gainin-depthunderstandingofthetextminingprocesswithlucidimplementationintheRlanguage?Example-richguidethatletsyougainhigh-qualityinformationfromtextdataWhoThisBookIsForIfyouareanRprogrammer,analyst,ordatascientistwhowantstogainexperienceinperformingtextdataminingandanalyticswithR,thenthisbookisforyou.Exposuretoworkingwithstatisticalmethodsandlanguageprocessingwouldbehelpful.WhatYouWillLearn?GetacquaintedwithsomeofthehighlyefficientRpackagessuchasOpenNLPandRWekatoperformvariousstepsinthetextminingprocess?AccessandmanipulatedatafromdifferentsourcessuchasJSONandHTTP?Processtextusingregularexpressions?Gettoknowthedifferentapproachesoftaggingtexts,suchasPOStagging,togetstartedwithtextanalysis?Exploredifferentdimensionalityreductiontechniques,suchasPrincipalComponentAnalysis(PCA),andunderstanditsimplementationinR?Discovertheunderlyingthemesortopicsthatarepresentinanunstructuredcollectionofdocuments,usingcommontopicmodelssuchasLatentDirichletAllocation(LDA)?Buildabaselinesentencecompletingapplication?PerformentityextractionandnamedentityrecognitionusingRInDetailTextMining(ortextdataminingortextanalytics)istheprocessofextractingusefulandhigh-qualityinformationfromtextbydevisingpatternsandtrends.Rprovidesanextensiveecosystemtominetextthroughitsmanyframeworksandpackages.Startingwithbasicinformationaboutthestatisticsconceptsusedintextmining,thisbookwillteachyouhowtoaccess,cleanse,andprocesstextusingtheRlanguageandwillequipyouwiththetoolsandtheassociatedknowledgeaboutdifferenttagging,chunking,andentailmentapproachesandtheirusageinnaturallanguageprocessing.Movingon,thisbookwillteachyoudifferentdimensionalityreductiontechniquesandtheirimplementationinR.Next,wewillcoverpatternrecognitionintextdatautilizingclassificationmechanisms,performentityrecognition,anddevelopanontologylearningframework.Bytheendofthebook,youwilldevelopapracticalapplicationfromtheconceptslearned,andwillunderstandhowtextminingcanbeleveragedtoanalyzethemassivelyavailabledataonsocialmedia.StyleandapproachThisbooktakesahands-on,example-drivenapproachtothetextminingprocesswithlucidimplementationinR.

Ashish Kumar, Avinash Paul ·自動化 ·4.1萬字

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