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RSNNS

Neural Networks using the Stuttgart Neural Network Simulator (SNNS)

v0.4-18 · Jan 29, 2026 · LGPL (>= 2) | file LICENSE
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Description

The Stuttgart Neural Network Simulator (SNNS) is a library containing many standard implementations of neural networks. This package wraps the SNNS functionality to make it available from within R. Using the 'RSNNS' low-level interface, all of the algorithmic functionality and flexibility of SNNS can be accessed. Furthermore, the package contains a convenient high-level interface, so that the most common neural network topologies and learning algorithms integrate seamlessly into R.

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installed package size

              
  installed size is  7.4Mb
  sub-directories of 1Mb or more:
    libs   6.3Mb

            

            

              

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  installed size is  7.5Mb
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    libs   6.4Mb

            

            

              

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Check History

        

          

            
              NOTE
              
                12 OK ·                 2 NOTE ·                 0 WARNING ·                 0 ERROR ·                 0 FAILURE              
              Mar 9, 2026
            
            

              

                

                  NOTE
                  r-oldrel-macos-arm64
                

                
installed package size

                
  installed size is  7.4Mb
  sub-directories of 1Mb or more:
    libs   6.3Mb

              

              

                

                  NOTE
                  r-oldrel-macos-x86_64
                

                
installed package size

                
  installed size is  7.5Mb
  sub-directories of 1Mb or more:
    libs   6.4Mb

              

            

          

        

      


      
      

        
Reverse Dependencies (9)

        

          
imports

          

            E2E
            FRI
            TSPred
            noisemodel
            semiArtificial
          

        

        

          
suggests

          

            FSinR
            NeuralNetTools
            NeuralSens
            mlr
          

        

      


      
      

        
Dependency Network

        

          
            

            
            
            Dependencies
            
            Reverse dependencies

            
            

            
            
            
            
            
            
            
            
            
            

            
            
              
              Rcpp
            

            
            
              
              E2E
            
            
              
              FRI
            
            
              
              TSPred
            
            
              
              noisemodel
            
            
              
              semiArtificial
            
            
              
              FSinR
            
            
              
              NeuralNetTools
            
            
              
              NeuralSens
            
            
              
              mlr
            

            
            
            RSNNS
          
        

      


      
      

        
Version History

        

          

            new
            0.4-18
            Mar 9, 2026