學(xué)報(bào)自然科學(xué)寫(xiě)作模板

ToaddressthechallengesofthelackofnonlinearityaninformationoftheDRPEalgorithm,makingitmoresuitableforcompleximageOurproposedmethodisbasedontheideaofcombinfunctions.Specifically,weusethreeseparatenetwork(CNN)forfeatureextraction,arecurrentneuralnetwork(RNN)forsequenceprocessing,connectedneuralnetwork(FNN)forfinalclassification.Eachofthesenetworksisdactivationfunction,suchasoverallperformanceofthesystem.featuresfromtheinputimages.TheCNN-basednetworkextractshigh-lconvolutionaloperations,whiletheRNN-baseddependencies.TheFNN-basednetworktakestheextractedfeaturesandproducesthefinaExperimentalresultsdemonstratethatourproposofbothaccuracyandwhilemaintainingareasonablecomputationalcost.Wealsopmethodbyanalyzingtheroleofeachnetworktypeintheoverallprocess.Insummary,ourproposedmethodaddressesthelimitationsofDRPEbycombiningmultipleneuralnetworkswithdifferentactivationfunctions.algorithm,makingitmoresuitableforcompleximaKeywords:doublerandomphaseencoding,quantumcellularneuralnetwork,chaos,FractionalFouriertransform,opticalimageencryption(英文關(guān)鍵詞的內(nèi)容和順序必須和中文關(guān)鍵詞一由于圖像數(shù)據(jù)量龐大，傳統(tǒng)的圖像加密算法的效率相對(duì)較低[1](按照引用順序排列)。1995年，1相關(guān)理論1.1分?jǐn)?shù)階混沌系統(tǒng)(下文獨(dú)立成段)先行獲取S,矩陣中最大元素并記為smax,然后將所得矩陣每個(gè)元素經(jīng)過(guò)e為底的指分?jǐn)?shù)階混沌系統(tǒng)如式(1):(公式排版請(qǐng)用mathtype)表1在PASCALVOC2012新測(cè)試集中使用不同方法的loU對(duì)比(單位：%)2算法描述pLab-A像下的Fig.1Theflowchartofsmallobjectsemanticsegme(2)每張圖片(或子圖)必須是一個(gè)完整的對(duì)象，一個(gè)獨(dú)立的圖片。3.1鉬礦體的主要分布.現(xiàn)已發(fā)現(xiàn)大小礦體19個(gè)，產(chǎn)狀不規(guī)則，大體呈東西向展布，傾向北東(圖2)。重主線和輔線差異分戶2T圖2寶安鉬礦床礦區(qū)地質(zhì)簡(jiǎn)圖(右上角圖示其在秦嶺-大別山造山帶中的位置)3.3鐵離子對(duì)MO降解動(dòng)力學(xué)影響降解過(guò)程均采用一級(jí)動(dòng)力學(xué)擬合，速率常數(shù)(min-1)如圖2所示。[Fe2+]=[Fe3+]=[Fe(A圖2不同體系中MO的降解動(dòng)力學(xué)Fig.2ThedecolorationkineticplotsofMOinthephotochemicalprocesses致謝具體內(nèi)容作者自擬參考文獻(xiàn)1.每篇論文所引用的文獻(xiàn)不少于16篇。China:ChemicallndustryPress,2005,295-300.)(論著,如中文論著的原著沒(méi)有英文信息，則只保留中文即可)Papadopoulos,S.Kompatsiaris,Y.Vakalisegmentation.NanjingUniversity(NaturalSciences),2013,49(2):169YaoYY."StratifiedRoughSetsandGranularComputing"http://DaveRN,SudkampT.18thoftheNorthAmericanFuzzyInformationProcessingSociety.NewYork,NY,US[6]Lee,YJ.andR.SVM:ReducedSupportVectorMachines.TechnicalReport.DataMiningInstitut[8]中華人民共和國(guó)國(guó)家標(biāo)準(zhǔn).織物透濕量測(cè)試方法，GB/T12704-91.(People'sRepublicofChina.Fabrics-Determinationofwatervaportransmissi