IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK ON FPGA

IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK ON FPGA

ID:37658105

大?。?18.45 KB

頁數(shù):11頁

時(shí)間:2019-05-27

IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK ON FPGA_第1頁
IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK ON FPGA_第2頁
IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK ON FPGA_第3頁
IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK ON FPGA_第4頁
IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK ON FPGA_第5頁
資源描述:

《IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK ON FPGA》由會(huì)員上傳分享,免費(fèi)在線閱讀,更多相關(guān)內(nèi)容在行業(yè)資料-天天文庫。

1、IMPLEMENTATIONOFARTIFICIALNEURALNETWORKONFPGA12Dr.RezaRaeisi,ArminKabir1IndianaStateUniversity,Indiana;Email:reza@indstate.edu2IndianaStateUniversity,Indiana;Email:akabir1@indstate.edu1.IntroductionAnArtificialNeuralNetwork(ANN)isaninformationprocessingparadigm,whichisinspiredbytheway

2、biologicalnervoussystems,suchasthebrain,processinformation.Thekeyelementofthisparadigmisthenovelstructureoftheinformationprocessingsystem.Scientiststrytoimitatethebrain’scapabilitieswithANN(Haykin,1999).FPGAbasedreconfigurablecomputingarchitecturesarewellsuitedtoimplementANNbecausethe

3、parallelstructureofFPGAmatchesthetopologiesofANN.TheabilitytoeasilyreconfigureFPGAmakesthedesignlessexpensivethanpre-designedhardware,anditalsogivestheuserstheopportunitytochangetheweightsbasedontheirneeds(Ienne,1995).ImplementedANNonFPGAcanbeusedtoworkwithdifferentintegratedcircuits.

4、Forexample,ANNisusedincellphonestodecreasethenoise,inthisapplicationANNshouldbeimplementedonthehardwarebecauseofthesmallsizeofcellphonesandalsohighspeedthatisneededforthisapplication.AmericanSocietyforEngineeringEducationMarch31-April1,2006–IndianaUniversityPurdueUniversityFortWayne(I

5、PFW)2006Illinois-IndianaandNorthCentralJointSectionConference2.ArtificialNeuralNetworksSomeofthemostimportantpropertiesofthehumanbrainthatscientistsliketoimitatearetrial-and-errorandpatternlearning.WithANN,theyhavecomeastepclosertoreachingthisgoal.ANNisusedtosolvemanydailyproblemsindi

6、fferentareasofscience.SomeofthemanyapplicationsofANNareimageprocessing,signalprocessing,systemcontrol,anddatamining.TheabilityofANNtolearnbyexamplemakesitveryflexibleandpowerfulfornumerousapplications.NeuronsarethemainpartofeachANN.Eachneuroncanhavecountlessinputs;however,itwillonlyha

7、veoneoutputvalue,asillustratedinFigure2.1.X1..W1....F(?XiWi).....WnXnFigure2.1NeuronStructureTheoutputofeachneuroniscalculatedbythefollowingformula:Output=F(?Xi*Wi)Formula2.1WhereXiistheinputtotheneuron,andWiistheweightofeachinput.TheseweightsAmericanSocietyforEngineeringEducationMarc

8、h31-A

當(dāng)前文檔最多預(yù)覽五頁,下載文檔查看全文

此文檔下載收益歸作者所有

當(dāng)前文檔最多預(yù)覽五頁,下載文檔查看全文
溫馨提示:
1. 部分包含數(shù)學(xué)公式或PPT動(dòng)畫的文件,查看預(yù)覽時(shí)可能會(huì)顯示錯(cuò)亂或異常,文件下載后無此問題,請(qǐng)放心下載。
2. 本文檔由用戶上傳,版權(quán)歸屬用戶,天天文庫負(fù)責(zé)整理代發(fā)布。如果您對(duì)本文檔版權(quán)有爭(zhēng)議請(qǐng)及時(shí)聯(lián)系客服。
3. 下載前請(qǐng)仔細(xì)閱讀文檔內(nèi)容,確認(rèn)文檔內(nèi)容符合您的需求后進(jìn)行下載,若出現(xiàn)內(nèi)容與標(biāo)題不符可向本站投訴處理。
4. 下載文檔時(shí)可能由于網(wǎng)絡(luò)波動(dòng)等原因無法下載或下載錯(cuò)誤,付費(fèi)完成后未能成功下載的用戶請(qǐng)聯(lián)系客服處理。