具有神经网络的神经网络

Question

好吧，我必须使用神经网络方法对神经网络执行此操作，但是我有一个问题，因为我有一个错误，我需要知道如何解决该错误，谢谢

    library("readr")
    library ("neuralnet")

#
datos <- read.csv("file:///D:/Students_Academic_Performance.csv")
summary(datos) #Resumen de datos
 gender     NationalITy       PlaceofBirth         StageID       GradeID    SectionID     Topic     Semester   Relation    raisedhands    
 F:175   KW       :179   KuwaIT     :180   HighSchool  : 33   G-02   :147   A:283     IT     : 95   F:245    Father:283   Min.   :  0.00  
 M:305   Jordan   :172   Jordan     :176   lowerlevel  :199   G-08   :116   B:167     French : 65   S:235    Mum   :197   1st Qu.: 15.75  
         Palestine: 28   Iraq       : 22   MiddleSchool:248   G-07   :101   C: 30     Arabic : 59                         Median : 50.00  
         Iraq     : 22   lebanon    : 19                      G-04   : 48             Science: 51                         Mean   : 46.77  
         lebanon  : 17   SaudiArabia: 16                      G-06   : 32             English: 45                         3rd Qu.: 75.00  
         Tunis    : 12   USA        : 16                      G-11   : 13             Biology: 30                         Max.   :100.00  
         (Other)  : 50   (Other)    : 51                      (Other): 23             (Other):135                                         
 VisITedResources AnnouncementsView   Discussion    ParentAnsweringSurvey ParentschoolSatisfaction StudentAbsenceDays Class  
 Min.   : 0.0     Min.   : 0.00     Min.   : 1.00   No :210               Bad :188                 Above-7:191        H:142  
 1st Qu.:20.0     1st Qu.:14.00     1st Qu.:20.00   Yes:270               Good:292                 Under-7:289        L:127  
 Median :65.0     Median :33.00     Median :39.00                                                                     M:211  
 Mean   :54.8     Mean   :37.92     Mean   :43.28                                                                            
 3rd Qu.:84.0     3rd Qu.:58.00     3rd Qu.:70.00                                                                            
 Max.   :99.0     Max.   :98.00     Max.   :99.00  

n <- sample(1:480,144) #30% of datos
Train <- datos[-n,]
)Test <- datos[n,]

frml <- H + L + M ~ gender + NationalITy + PlaceofBirth + StageID + GradeID + SectionID + Topic + Semester + Relation + raisedhands + VisITedResources +
    AnnouncementsView + Discussion + ParentAnsweringSurvey + ParentschoolSatisfaction + StudentAbsenceDays 

modelo.net_1 <- neuralnet(frml,
                        data      = Train, 
                        algorithm = "rprop+", 
                        threshold = 0.5,
                        hidden    = 0,
                        rep = 10,
                        lifesign.step= 1000
)

  

神经元[[length.weights]]％*％weights [[length.weights]]错误：
  需要数字/复杂矩阵/矢量参数