Fundamentals of Statistics contains material of various lectures and courses of H. Lohninger on statistics, data analysis and chemometrics......click here for more.



Neural Networks
Model Selection

In order to select the appropriate neural network model, it is necessary to find out whether you are dealing with a
 

  • supervised task,
  • or unsupervised task.


If you want to train the system to respond with a certain predefined output, the task is supervised. If the network should self-organize, the target is not predetermined and the task is called an unsupervised task.

Furthermore, you have to know whether your task is a
 

  •  classification task,
  • or function approximation task.


A neural network performing a classification task puts each input into one of a given number of classes. For function approximation tasks, each input is associated with a certain (analog) value.


Last Update: 2006-Jan-17