  Incremental Net Pro (IncNet Pro) with local learning feature
  and statistically controlled growing and pruning of the network is
  introduced. 
  
  The architecture of the net is based on RBF networks.
  
  Extended Kalman Filter algorithm and its new fast version is
  proposed and used as learning algorithm.
  
  IncNet Pro is similar to the {\em Resource Allocation Network\/}
  described by Platt in the main idea of the expanding the network.
  The statistical {\em novel criterion\/} is used to determine the
  growing point.
  
  IncNet Pro use pruning method similar to {\em Optimal Brain
  Surgeon\/} by Hassibi, but based on Extended Kalman Filter
  algorithm.
  
  The Bi-radial functions are used instead of radial basis functions
  to obtain more flexible network.  


