The neural network (NEURAL)

• Introduction.
• Mode of operation
• Network architecture (NETWRK)
• Example (EXAMPL)
• Input data
• Network administration
  • Reading data (GETSET)
  • Resetting the network (ININEU)
  • Saving network parameters in a file (MAKNEU)
  • Restoring network parameters from a file (GETNEU)
  • Saving the network (SAVNEU)
  • Restoring the network from file (RESNEU)
• Training the network
• Training the network, using all data (TRAIN)
  • Training the network, jack-knifing the data (JKNIFE)
  • Determining outliers (QQSAR)
• Inspecting results
  • Display neuron values (SHONEU)
  • Display the results (SHOSET)
  • Display network parameters (SHOPAR)
• Performance modifying options
  • Simulated anealing (COOLNW)
  • Local minima (HEATNW)
  • Shaking the net a little bit (SHAKEN)
• (Re-)setting the network parameters (PARAMS)
  • Initial temperature (TEMPNW)
  • Temperature spread (TEMPNE)
  • Extra linear layer (LINEAR)
  • Robust scoring scheme (ROBUST)
  • Higher order weighing (SMTERR)
• Other options
  • Debugging (DEBUG)
  • The secondary structure neural network (MAKTST)
  • Looking at results (SCATER)