Structural learning with forgetting

  title={Structural learning with forgetting},
  author={Masumi Ishikawa},
  journal={Neural Networks},
-It is widely known that, despite its popularity, back propagation learning suffers from various difficulties. There have been many studies aiming at the solution o f these. Among them there are a class o f learning algorithms, which I call structural learning, aiming at small-sized networks requiring less computational cost. Still more important is the discovery o f regularities in or the extraction of rules from training data. For this purpose I propose a learning method called structural… CONTINUE READING
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