To shorten the learning time and to improve the recognition performance of the learning type recognition and judgement device which learns and recognizes inputted pattern data by automatically removing learning patterns which are not necessary for learning.

For example, a group reversion degree selected by a 2nd group selection part 1007 is large, in-group similarity which corresponds to the group reversion degree and is calculated by a similarity calculation part 1004 is large, and although it is decided that the reliability of a recognition result is very high, the recognition result and a tutor signal are different, namely, the tutor signal is misadded or a signal which is very difficult to discriminate is inputted. A 1st learning decision part 1019 automatically detects the said state and makes a learning control part 1013 make no load change. Consequently, the learning time is shortened and the recognition performance is prevented from decreasing.