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From: cs_leo@ug.cs.ust.hk (Wong Tsz Cheong)
Subject: Normalizes the input patterns
Message-ID: <1995Feb25.074319.4024@uxmail.ust.hk>
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Date: Sat, 25 Feb 1995 07:43:19 GMT
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Hi all,
  By some books, the training patterns are normalized by the following
  equation:
      Max = max value in the training set.
      Min = min value in the training set.
      range = Max - Min
      all value of training patterns = (Old value - min) / range

  It is fine for training.  However, does it mean we should remember the
  values of Max and Min for recognition?
  If we don't remember them, the values of input nodes after normalization
  are not as same as those in training, although same pattern is used in
  both training and recognition.

Thanks a lot!
Leo.

