神经网络软件操作手册-Neurosolutions0

1、打开Neurosolutions,进入以下界面Fr♦知独访的Fr♦知独访的.[BStlDSDAPni]点击NSExcel星按钮，在Excel加载项中出现Neurosolutions项。汨文件⑥幅辑阴柳图5汨文件⑥幅辑阴柳图5施瓦©格式回工具⑪数据®宣口口帮助®旦3陶URiw口直。鼻01弯W 里工7141修・E宋体ABCDEFGHI12342、标记数据选定指标数据列(x1 x5),点击Neurosolutions菜单选择TagDataTColumn(s)AsInput选项，将(x1 x5)标记为输入。选定指标数据列y,点击TagData下Column(s)AsDesired选项，将y标记为输出。选定第1到53个样本所在的行，点击TagData下Row(s)AsTraining选项，将其标记为训练集。最后选定第53到58个样本所在的行，点击TagData下Row(s)AsTesting选项，将其标记为测试集。标记完成后界面如下。□MkrwOflEwcel-Dwrtt1ABCHBF1d・3*5y12D.M67235W0.3472377B6QJ的22390.副1丽95G.3韭503S29在3#项引34解50„3=47190BS70.^.7731803U.S1S121844■347m^l60.3471£6355A3号了8264844雨6Q.34T75W4施0.54782641340.日陷986910.34T啾钟吕Q.3肝5门制1034S144555d()^7Cl羽科g打结a。31回题o.Balsas0.34SlfidO2&山3肝日咽曲A34附第艘6.34S35T490.3480402230.B1CT87703134B5?«0390L347999112仁的副第打74班g0,34789703o.5A80203910.81^32473S制的网嘴M34T?82Ml£1.34&43SS8B40fi700.34781OBffT%S48-435G79凡B1OT897020.34843S6790.347631^9790.34网若僦0.M8326D570rSI1222652Q.34BM71660L54SZ4ffil8aS4E4S理S4(*720.3^82351530.34S437530_BimO078&0.34E&a80350.3猛。必95Q.34的34前4沏3口34兆也刻0,^35342320.81^826712Q.3406773910.54B347196已S4F598E3406174口,34JS27035S0,S4769822&0P8151-97138d.342^03550.34765137"3"£孔狷W曲海TB0.涉P犯&(西0.3473139210..80fT824526S347^8038CL3476053830.4熊^0.3430261410.J48096&07o.et»S461439S3462225956制防93既2%”鹏如4am0.3-4S0S25E70.2^73641520uB073S1222.34E1®68110.3477T6787A的摩3不4即」口MT7559斫0.网睚Q1T3T0.3%伺59560.3裁花4354334门叼】9后M屏M叼然而d而9&.3470£435e0.3116319&&30-7&78430770.34727^7390.34肝跑知A34&^18&74解Q0.3469281390.3466106740.8Q2J22147"347145747.346354362爪S48048E84照110.346604440.^60452818Cffi21431763犷您1390,34&012173。.才454打儆40^20.3^60391120.346n1能9口・7WL7S040.346^23970.345BU3471A4两3D.346411BZ90.M6719211QJ潮Q89290.34&T380170.34BP9我4我5劭厘罪4燃4-3兆蚪Ml0.3457279220..S047201350.34&443196帆34E637818Q,3*5824494陶5D.M55571120.345324492Q,T9用444120.3459412090L3蜘网15&J/5W55Jd幽6D.M53741T2肥苗5&貂0.T9CM榔CL345&6S027Q.3452d?M3注3城划熬44O&870.M5T815490.3458253900u791156522■3460172^110l345&5B161帆345阪鳖54陶gD,诃5893捌0.列钝99立1o.7&1M7646Q.$45105霏5晒1神骂0,/39旷901/80950440.3459907910.7«603430.3461^9480.3457S3214A电4T83、预处理数据点击Neurosolutions菜单，选择PreprocessDataTRandomizeRows选项，完成数据处理,Excel出现sheet1Randomize.

4、建立BP神经网络模型选择Excel的sheetl工作表界面，点击Neurosolutions菜单，选择Create/OpenNetwork下的NewCustomNetwork选项，出现以下界面。y文件①—小］IREQ!）ffiAQ）格式明）4、建立BP神经网络模型选择Excel的sheetl工作表界面，点击Neurosolutions菜单，选择Create/OpenNetwork下的NewCustomNetwork选项，出现以下界面。y文件①—小］IREQ!）ffiAQ）格式明）CD）苦口底J怦助aI口二0匕&4』/& zft£HUHI«B碎K2S- &NeuroSolutions[卜 DiincnsioiKInc.ITheNeumI HMu曲曲mEm卜国训m皿l-QND.JDEAA3J2-377-5I44Fs^352.377-900?EjndJ:tnfb（^ndc™0*.nd.C4H1Thank^ouforinstallingtheEvaluationEditionofNeuroSoliiliansThissoftwarewillhelpyougainabe（lerunderstandingofneuralnetworicsbyillustratingkeyconceptswithnumerousIiyb,interactivedemosInadditiontyouwillhave1heabilityIotrain国ndteatneuralnelwgrkswithyourQidala（some话别ricti口口嚣apply）.Obtain@疝，unrestrictedllic-ftezincti?i4068040635mis40675OrdAtr3k*40^340679.40^78,40710.40703料695虫避的W网40697.406T7.40693406T6虫：ITIT40705.407094Q网4063240719407064Q沏40637点击◎迪逅二I按钮,出现模型参数设置界面。,□MfcrowftEkeH•曲确1I™i5 呼町Edii™iHemAlBuildeiGengrifeXiTSdFndF"*也P曲力如lorM受urojHatworkJorduKirELTiiriVietY«rkFrlucipalCmjionentAoalysas里EEP/GBWEWIk-kSelf-OrcaDiziixeF电自toreN&pJTetTin/-Lg器E事C'UsrenRNetworX^O-CTITTbD.t^4-tviarkCAEFISMetwork(JuzzyLag:c)SupportVeetbi"Na.chineMWtU野穹 *(MLPs)artliyercdftadfoiwsrdnetworkstypicallyt±：aiiisdwith,staticb®耽pi印蝇，tigThesenetworkshavefoundthcsr

NeuralMndelWelcaffieIdthe gNeuralBuild.e3,.SLartkigwithyourdal4Pthistool碗11声dkyouthioughtheprocessofdesigningandl±amaganeurdnetworkThere掘entanydiflFcienttypesofneuraliifliwotfcs,hulmostciabbel8sMwd«£belongingtooneofthemajorparidigpisliftedt-oth®left.Eichpandagmwillhaveadvantages触id出的dy5ML-dependingon.yourpmticuloja^xplicahMi.TKalp将设置隐层层数。出现界面如下。设置1个隐层层数,K设置1个隐层层数,K&lf口口| ＜《 ] 4 ]点击区堂n按钮,对隐层参数进行设定，出现界面如下。设置隐层处理单元为为设置隐层处理单元为为0.7,都为系统默认值。点击4个，激活函数SigmoidAxon,学习规则选择Momentum,步长为1,冲量二立二1|按钮,对输出层进行参数设定，出现界面如下。TieurrilBuflderOutputLayerOutputLayerThispBJiBlisusedtospecifytheparametersnlayerofprocessingelements(TEs).NewQSoluhcknssunudationsarevectoibasedforefficiency.Thisimpliesthat-eachlayerGonlaiiLEavectorofPEsandthat由甘pajametersseketedapplytoiheentiieTactor.ThepuuiitUrs：ucdependentonth«neutfdnw金Lbut皿re-qiuireanonltneat^tyfunction加specifytheO.CEE步长为0.1,冲量为0.7,都为系统默认值。点击仁全3按钮，设置最大迭代次数，出现界面如下。色IMeurdlBuildti 1xSupervisedLearningIIIAiiim'umEpochsTheMaxbnutnEpochsHeldepeciHeshowmanyiterations(overthetrainingse£)willbedon?ifn-oothermtenonkicksin.ThtErrofChang#boxcontainsthepatainelers|booc甲煦］ Threshol<|001,P*'lininw Training:St,Incr«m«Dtn'"「lucres^^ 「LoadBestonTeusedtotenttmatethetidningbasedonmean叫uandeiTDf.TheNeuralBuildeihasMSEterttunahoiiIfeightUpdateCOn-Line BatchActivat-Bdbydefauli.T□terminatethetrainingstrictlybastdonthewHip d七|W|设置最大迭代次数为6000次，选定MSE按钮，设置标准误差参数为 0.01,选择批量更新Batch按钮。点击广 ‘I按钮,出现以下界面。点击按钮,BP神经网络模型设立完成，出现界面如下。・绘fibgrontIpok出tHpO0急像 电诙云度！・绘fibgrontIpok出tHpO0急像 电诙云度！毕Rtf* amgn NBOMm W江电 CHV F-IGi^i Tiding Q*UN^r CnhrHf^点击―丑气 I按钮，得至UTrainltrainingReport和TrainltrainingMSE两张工作表，结果如下。5、训练神经网络选择Excel的sheetIRandomized工作表界面，点击Neurosolutions菜单，选择TrainNetwork下的Train选项，出现以下界面。在Trainname中填入名称为train1,迭代此处为6000次，点击二EZZI按钮，出现以下界CtitputLocatkinTrlaJName: |franlTrailingOptwnsNumberofEpoch* |6000-回RandonueInitialWeights—CrossValidationTeinwiitbn 「Termrateafter|LOOepochs同口irprav-DniEritFarUlas研NationprcblBnis,rnakedesseseveniyweightedHelp OKICanedEvaluationbiodeDescnptmIhankywjforhstalirgthecvakidtkxiversionofNeiroSaliitiorKForEscel.ThssoftwareisidentacaltothereikaseversionofhJetira5c1utlon£forExcel劭tEtfortheFdkmng匕利冶EMr；Limitations・M®cimufnof3outputs&Maximumof30inputs-Maximumof30口exem^ars-Mftximufnof30QQtiriput$k珈的叩匕㈤Youiwu$etheev-duetisnwsontfthisstftwreItwofchargeFor&0days.[Fy?uwaukllivtopurchawanunreftrlttiEdverslanofNeuroSdUtungfcrExaeljple-asecaritad:Meur口DirnensntaplaceanQT*JOrderInfo；Cor*attNeuroDirncnfignHeurdSoliitiMiKrfireMiboardflEyjiLuationModisTrilnMSEversusEpoch0.060.050.04TrainingMSE600 119917982397299635954194479353925991EpochTrainingMSE600 119917982397299635954194479353925991Epoch0.020.0101BestNetworkTrainingEpoch# 6000MinimumMSE 0.00221929FinalMSE 0.002219296、测试神经网络选择Excel的sheet1Randomized工作表界面，点击Neurosolutions菜单，选择Test下的test选项，出现以下界面。在Trialname中填入名称为test1,在DatasettoTest中选择Training,点击1 H I按钮,出现以下界面。E汨uabonModeD«criptianThar杰youfor theeveiu^ionversionofNeuroSokitionsfwEk6sLThissoftwareisidentic^totherddasevarsimofMeuroSditiansMrZtelexceptForthefaHovdngImltatians：UmitathnsMau册5印3OUtpLAfiMaxhiurnof