Examples of trust.jfcm.learning.EntryStructure

trust.jfcm.learning.EntryStructure
Class for representing the structure of an entry of the dataset @author pc

      /*
       * compute errors on the output nodes
       */
      List<EntryStructure> outputs = e.getOutputs();
      for(int i=0; i<outputs.size(); i++){
        EntryStructure e1 = outputs.get(i);
        Concept c = e1.getConcept();
        
        if(c==null)
          System.err.println("Error: Concept "+e1.getConcept().getName()+" not found");
        
        
          LearningConcept lc = null;
          if(c instanceof LearningConcept)
            lc = (LearningConcept) c;

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     /*
     * compute errors on the output nodes
     */
    double error = 0;
    for(int i=0; i<outputs.size(); i++){
      EntryStructure e1 = outputs.get(i);
      Concept c = e1.getConcept();
      
      if(c==null)
        System.err.println("Error: Concept "+e1.getConcept().getName()+" not found");
      
      
        LearningConcept lc = null;
        if(c instanceof LearningConcept)
          lc = (LearningConcept) c;
        
        if(lc != null && lc.isOutput()){
          OutputLearningConcept oc = (OutputLearningConcept) lc;
          error += Math.pow(oc.getOutput() - e1.getValue(), 2);
          //System.out.println("  OutputNode: "+c.getName()+": "+c.getOutput()+", desirable value: "+e1.getValue());
        }
        
    }

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    //System.out.println("- Calculating errors:");
    /*
     * Set desirable outputs
     */
    for(int i=0; i<outputs.size(); i++){
      EntryStructure e1 = outputs.get(i);
      Concept c = e1.getConcept();
      
      if(c==null)
        System.err.println("Error: Concept "+e1.getConcept().getName()+" not found");
      
      
        LearningConcept lc = null;
        if(c instanceof LearningConcept)
          lc = (LearningConcept) c;
        
        if(lc != null && lc.isOutput()){
          OutputLearningConcept oc = (OutputLearningConcept) lc;
          oc.setDesirableOutput(e1.getValue());
          //System.out.println("  OutputNode: "+c.getName()+": "+c.getOutput()+", desirable value: "+e1.getValue());
        }
        
    }
  }

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   * Set the inputs to the map from the given training set entry
   * @param inputs: training set entry of input data
   */
  private void setTrainingInputs(List<EntryStructure> inputs){
    for(int i=0; i<inputs.size(); i++){
      EntryStructure e1 = inputs.get(i);
      //System.out.println("EntryStructure: "+e1);
      
      LearningConcept lc = (LearningConcept) e1.getConcept();
      if(lc != null && lc.isInput()){
        InputLearningConcept ilc = (InputLearningConcept) lc;
        ilc.setInput(e1.getValue());
      }


    }
  }

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      /*
       * compute errors on the output nodes
       */
      List<EntryStructure> outputs = e.getOutputs();
      for(int i=0; i<outputs.size(); i++){
        EntryStructure e1 = outputs.get(i);
        Concept c = e1.getConcept();
        
        if(c==null)
          System.err.println("Error: Concept "+e1.getConcept().getName()+" not found");
        
        
          LearningConcept lc = null;
          if(c instanceof LearningConcept)
            lc = (LearningConcept) c;

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     /*
     * compute errors on the output nodes
     */
    double error = 0;
    for(int i=0; i<outputs.size(); i++){
      EntryStructure e1 = outputs.get(i);
      Concept c = e1.getConcept();
      
      if(c==null)
        System.err.println("Error: Concept "+e1.getConcept().getName()+" not found");
      
      
        LearningConcept lc = null;
        if(c instanceof LearningConcept)
          lc = (LearningConcept) c;
        
        if(lc != null && lc.isOutput()){
          OutputLearningConcept oc = (OutputLearningConcept) lc;
          error += Math.pow(oc.getOutput() - e1.getValue(), 2);
          //logger.debug("  OutputNode: "+c.getName()+": "+c.getOutput()+", desirable value: "+e1.getValue());
        }
        
    }

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    /*
     * Set desirable outputs and compute the mean error
     */
    double sum=0;
    for(int i=0; i<outputs.size(); i++){
      EntryStructure e1 = outputs.get(i);
      Concept c = e1.getConcept();
      
      if(c==null)
        System.err.println("Error: Concept "+e1.getConcept().getName()+" not found");
      
      
        LearningConcept lc = null;
        if(c instanceof LearningConcept)
          lc = (LearningConcept) c;
        
        if(lc != null && lc.isOutput()){
          OutputLearningConcept oc = (OutputLearningConcept) lc;
          oc.setDesirableOutput(e1.getValue());
          sum += oc.getDesirableOutput() - oc.getOutput().doubleValue();
        }      
    }
    
    double mean_error = sum / outputs.size();

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   * Set the inputs to the map from the given training set entry
   * @param inputs: training set entry of input data
   */
  private void setTrainingInputs(List<EntryStructure> inputs){
    for(int i=0; i<inputs.size(); i++){
      EntryStructure e1 = inputs.get(i);
      //logger.debug("EntryStructure: "+e1);
      
      LearningConcept lc = (LearningConcept) e1.getConcept();
      if(lc != null && lc.isInput()){
        InputLearningConcept ilc = (InputLearningConcept) lc;
        ilc.setInput(e1.getValue());
      }


    }
  }

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Related Classes of trust.jfcm.learning.EntryStructure

trust.jfcm.learning.training.ForwardPropagation

trust.jfcm.learning.training.LinearRegression

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