Examples of InputLearningConcept

      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());
      }


    }
  }

Examples of trust.jfcm.learning.InputLearningConcept

        LearningConcept lc = null;
        if(c instanceof LearningConcept)
          lc = (LearningConcept) c;
        
        if(lc != null && lc.isInput()){
          InputLearningConcept ic = (InputLearningConcept) lc;
          ic.setError(mean_error);
          num++;
          //logger.debug("Error on concept "+ic.getName()+": "+ic.getError());
        }
    }
    return num;

Examples of trust.jfcm.learning.InputLearningConcept

      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());
      }


    }
  }

Examples of trust.jfcm.learning.InputLearningConcept

      map.getConcepts().get("disposition").setFixedOutput(true);
      
    }*/
    map.getConcepts().get("efactors").setFixedOutput(false);
    
    InputLearningConcept ped = new InputLearningConcept();
    ped.setName("pediatrician");
    ped.setFixedOutput(true);
    ped.setTrainingFunction(new LinearBP());
    map.addConcept(ped);
    LearningWeightedConnection conn1 = new LearningWeightedConnection();
    conn1.setName("ped_ability");
    conn1.setFrom(ped);
    conn1.setTo(map.getConcept("static_ability"));
    conn1.setWeight(0.9);
    map.addConnection(conn1);
    map.connect(conn1.getFrom().getName(), conn1.getName(), conn1.getTo().getName());
    
    InputLearningConcept ent = new InputLearningConcept();
    ent.setName("ent");
    ent.setFixedOutput(true);
    ent.setTrainingFunction(new LinearBP());
    map.addConcept(ent);
    LearningWeightedConnection conn10 = new LearningWeightedConnection();
    conn10.setName("ent_ability");
    conn10.setFrom(ent);
    conn10.setTo(map.getConcept("static_ability"));
    conn10.setWeight(0.3);
    map.addConnection(conn10);
    map.connect(conn10.getFrom().getName(), conn10.getName(), conn10.getTo().getName());
    
    
    InputLearningConcept cautious = new InputLearningConcept();
    cautious.setName("cautious");
    cautious.setOutput(1.0);
    cautious.setFixedOutput(true);
    cautious.setTrainingFunction(new LinearBP());
    map.addConcept(cautious);
    LearningWeightedConnection conn2 = new LearningWeightedConnection();
    conn2.setName("cautious_disposition");
    conn2.setFrom(cautious);
    conn2.setTo(map.getConcept("static_disposition"));
    conn2.setWeight(0.9);
    map.addConnection(conn2);
    map.connect(conn2.getFrom().getName(), conn2.getName(), conn2.getTo().getName());
    
    InputLearningConcept female = new InputLearningConcept();
    female.setName("female");
    female.setOutput(1.0);
    female.setFixedOutput(true);
    female.setTrainingFunction(new LinearBP());
    map.addConcept(female);
    LearningWeightedConnection conn3 = new LearningWeightedConnection();
    conn3.setName("female_cross");
    conn3.setFrom(female);
    conn3.setTo(map.getConcept("cross"));